{"data":[{"title":"Product Engineer (m/w/d)","companyName":"Orbit","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://orbit.do&size=128","companyWebsite":"http://orbit.do/","description":"<p>This is a role for someone who owns a piece of product from idea to production, not someone executing tickets. It emphasizes product thinking alongside technical depth. At Orbit, engineers are \"Operators of Intelligence\" who work through structured, spec-driven workflows rather than prompt-and-hope development.</p><h2>What You'll Do</h2><h3>Product &amp; Features (~65%)</h3><ul><li>Own features end-to-end, from conception through production</li><li>Make technical decisions on data models, API design, and tradeoffs</li><li>Develop user empathy through product data and analytics</li><li>Contribute product ideas, not just implementations</li></ul><h3>Agentic Development (~20%)</h3><ul><li>Practice spec-driven development with AI agents</li><li>Co-develop the company's agentic development framework</li><li>Manage multiple parallel agent-driven tracks</li><li>Apply quality gates at each workflow step</li></ul><h3>System Improvement (~15%)</h3><ul><li>Convert repeating patterns into documented, team-accessible workflows</li><li>Treat context as infrastructure for both humans and agents</li><li>Contribute to Orbit's agentic development leadership</li></ul><h2>Requirements</h2><ul><li>Real software engineering experience; shipped products to production (0→1 preferred)</li><li>Product Engineer mindset: outcome-focused, not implementation-focused</li><li>Active agentic development experience</li><li>Can parallelize multiple agent tracks cleanly</li><li>Excellent written communication (async-first culture is critical)</li><li>Self-directed and autonomous, needing minimal supervision</li><li>EU-based; German language proficiency preferred</li><li>Reliable and respectful team contributor</li></ul><h2>Nice to Have</h2><ul><li>Logistics or freight industry background</li><li>TypeScript / AWS / React stack experience</li><li>Startup or founder experience</li><li>Agent infrastructure, evals, or internal tooling development</li></ul><h2>Tech Stack</h2><ul><li><strong>Universal:</strong> TypeScript, zod, tRPC, SST (Pulumi/AWS)</li><li><strong>Backend:</strong> Node.js, AWS Lambda, DynamoDB with ElectroDB, Cognito, S3, Athena, Meilisearch</li><li><strong>Frontend:</strong> React (Remix), Redux, Mantine, React Map GL</li><li><strong>Mobile:</strong> React Native &amp; Expo</li><li><strong>Tooling:</strong> PNPM, Turborepo, Vitest, Sentry, ESLint/Prettier</li><li><strong>AI Layer:</strong> Anthropic models via AWS Bedrock; custom agentic framework</li></ul><h2>Benefits</h2><ul><li>Profit-sharing program (\"Own Orbit\")</li><li>Full remote flexibility within the EU</li><li>Quarterly in-person gatherings (Hamburg-based)</li><li>Equipment budget + coworking stipend</li><li>Wellpass fitness membership (DE/AT)</li><li>Premium AI tooling access</li><li>Low-meeting culture</li></ul>","location":"Remote (EU)","city":null,"locationType":"remote","employmentType":"full-time","seniority":"mid","salaryMin":null,"salaryMax":null,"salaryCurrency":null,"applyMethods":[{"type":"url","label":"Apply on join.com","value":"https://join.com/companies/orbit/16414503-product-engineer-m-w-d"}],"postedAt":"2026-07-07T18:20:16.217Z","expiresAt":null,"aiInfrastructure":["AWS Bedrock","Anthropic"],"techStackTags":["AWS","DynamoDB","Node.js","React","React Native","TypeScript"],"agenticFrameworks":[],"geoRegion":"eu","countries":["DE"],"remoteScope":"eu-wide","visaSponsorship":false,"sourceType":"curated","aiBudget":"Premium AI tooling access","brandColors":{"muted":"#962f02","vibrant":"#fc7c44","darkMuted":"#962f02","lightMuted":"#905a08","darkVibrant":"#822902","lightVibrant":"#f8c981"},"viewCount":83,"featuredAt":"2026-07-07T18:25:09.593Z","featuredUntil":"2026-08-06T18:25:09.593Z","featuredRenewalCount":0,"clickCount":16,"impressionCount":629,"slug":"orbit-product-engineer-mwd-bSoC5p","isFresh":true,"featured":true},{"title":"Ingeniero/a Senior de IA Agéntica","companyName":"FortIA","companyLogoUrl":"https://sntx9f48h9yditjs.public.blob.vercel-storage.com/logos/0fedc178-cf70-4817-aaea-a735698055fb.webp","companyWebsite":null,"description":"<p>FortIA busca un/a Ingeniero/a Senior de IA Agéntica para construir agentes desde cero, ponerlos en producción y mantenerlos. FortIA es una consultora especializada en transformación con IA agéntica para empresas: identifica oportunidades de alto ROI, despliega agentes funcionando junto a los equipos de usuarios finales y escala solo lo validado. Construye dos mitades con igual rigor: el sistema agéntico (tu dominio) y el sistema humano (rediseño de roles, formación de champions internos, acompañamiento de equipos).</p>\n<p>La oportunidad: eres la mano derecha técnica del fundador. Arquitectas, construyes, despliegas y mantienes agentes para 4–5 clientes en el primer año. Es 'arquitecto + builder + operador', no implementación de tickets.</p>\n<h4>Qué construirás:</h4>\n<ul><li>Agentes personalizados con LLMs locales (Gemma 3, Llama 3.3) sobre Ollama o vLLM, en Mac Studio o Hetzner.</li><li>Conectores MCP a plataformas SaaS (Gmail, Google Calendar, Drive, Telegram, ERPs).</li><li>Capa de anonimización bidireccional para enviar a cloud (Claude, OpenAI, Gemini) sin exponer entidades reales.</li><li>Vector stores y memoria contextual (Qdrant, ChromaDB): indexación de correos, contratos y documentos.</li><li>Capa de reglas determinista que gobierna las salidas del agente (qué envía, qué bloquea, qué requiere aprobación).</li><li>Workflows: briefings automatizados pre-reunión, borradores de email desde notas de voz, captura y archivado de reuniones.</li><li>Mantenimiento en producción, updates de modelos, corrección de bugs y monitoreo.</li></ul>\n<h4>Requisitos:</h4>\n<ul><li>3+ años construyendo sistemas LLM en producción (no experimentos en notebooks).</li><li>Idealmente al menos un agente desplegado con tools/MCP y memoria persistente.</li><li>Python sólido (async, typing, packaging); moverse entre TypeScript/Node cuando haga falta.</li><li>Experiencia con modelos locales (Ollama, vLLM, llama.cpp): cuantización, sizing de VRAM, throughput.</li><li>Capacidad de construir MCPs custom cuando el OSS no alcanza.</li><li>Experiencia con vector stores en producción: indexación, retrieval, reranking, hybrid search.</li><li>Disciplina de seguridad y privacidad; autogestión; español fluido e inglés técnico.</li></ul>\n<p>Deseable: anonimización de datos (NER, regex avanzada), background en consultoría/agencia de IA, datos regulados sensibles, presencia pública en comunidad, Whisper/speech-to-text.</p>\n<p>Stack: Python (principal), TypeScript/Node; Ollama, vLLM, Claude API, GPT, Gemini; Qdrant, ChromaDB; Linux (Hetzner) y Mac Studio, Docker, systemd; Git, CI/CD, despliegues bare-metal. Requiere fluidez en español. Remoto con opción híbrida, horario flexible, bono por desempeño, stipend de conferencias; FortIA cubre el cómputo cloud para pruebas.</p>","location":"Remote (worldwide; Mexican clients, Spanish required)","city":null,"locationType":"remote","employmentType":"full-time","seniority":"senior","salaryMin":42000,"salaryMax":66000,"salaryCurrency":"USD","applyMethods":[{"type":"url","value":"https://www.getonbrd.com/jobs/machine-learning-ai/ingeniero-a-senior-de-ia-agentica-fortia-remote"}],"postedAt":"2026-07-07T07:23:52.153Z","expiresAt":"2026-08-06T00:00:00.000Z","aiInfrastructure":["Anthropic","Chroma","Gemini","MCP","Ollama","Qdrant","vLLM"],"techStackTags":["Docker","GPT","Gemma 3","Llama 3.3","Node.js","Python","TypeScript","Whisper"],"agenticFrameworks":[],"geoRegion":"latam","countries":["MX"],"remoteScope":"country-specific","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":null,"viewCount":5,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":0,"impressionCount":354,"slug":"fortia-ingenieroa-senior-de-ia-agentica-JZlWzT","isFresh":true,"featured":false},{"title":"Automations Engineer (Internal AI)","companyName":"ElevenLabs","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://elevenlabs.io&size=128","companyWebsite":"https://elevenlabs.io","description":"<p>As an Internal AI / Automations Engineer at ElevenLabs, you'll be embedded at the frontier of how the company scales, acting as a forward-deployed engineer across GTM, Operations, and Finance teams. You won't just build tools; you'll co-design and ship agentic AI workflows that eliminate manual toil and reshape how people operate.</p>\n<p>About ElevenLabs: an AI research company launched in January 2023 with human-like voice models, serving millions of users and enterprise clients (Deutsche Telekom, Meta). $781M raised at an $11B valuation. Three platforms: ElevenAgents, ElevenCreative, and ElevenAPI. Culture is high-velocity: rapid experimentation, lean autonomous teams, minimal bureaucracy, no traditional job titles, AI-first across all departments.</p>\n<p>You'll own high-stakes automations from discovery to production, acting as a technical partner to internal teams. The patterns, guardrails, and tooling you define become the blueprint other teams reach for. You'll join a lean, high-velocity team focused on turning broken, manual processes into elegant automated systems.</p>\n<h4>What you'll work on:</h4>\n<ul><li>Designing and iterating on AI agents and workflow orchestrations using tools like ElevenAgents, Claude, and n8n.</li><li>Integrating AI systems with the business stack (Salesforce, Slack, Ashby).</li><li>Building reusable automation services and templates.</li><li>Owning experiments end-to-end with impact measurement.</li><li>Developing evaluation and monitoring frameworks for reliability and auditability.</li></ul>\n<h4>Requirements:</h4>\n<ul><li>Production automation/application experience.</li><li>Strong LLM knowledge (prompting, RAG patterns, agentic workflows).</li><li>Deep Python and SQL expertise.</li><li>System design patterns (APIs, webhooks, orchestration).</li><li>Cloud infrastructure hands-on experience (GCP preferred).</li><li>Kubernetes, Docker, and enterprise authentication proficiency.</li></ul>\n<p>Benefits: professional development stipend, social travel stipend, annual company offsite in rotating locations, and a co-working stipend for remote employees.</p>\n<p>Full-time. Remote (global) with offices including London, New York, San Francisco, and Warsaw. Note: this is an internal AI automation role rather than a customer-facing product role.</p>","location":"Remote (global); offices include London, New York, San Francisco, Warsaw","city":null,"locationType":"remote","employmentType":"full-time","seniority":"mid","salaryMin":null,"salaryMax":null,"salaryCurrency":null,"applyMethods":[{"type":"url","value":"https://elevenlabs.io/careers/a3097257-a07a-4a7e-b9fe-b8555c1a0fa7/automations-engineer"}],"postedAt":"2026-07-07T07:23:52.153Z","expiresAt":"2026-08-06T00:00:00.000Z","aiInfrastructure":[],"techStackTags":["Claude","Docker","GCP","Kubernetes","LLM","Python","SQL"],"agenticFrameworks":["n8n"],"geoRegion":"global","countries":[],"remoteScope":"global","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#848484","vibrant":"#7f7f7f","darkMuted":"#1c1c1c","lightMuted":"#b4b4b4","darkVibrant":"#424242","lightVibrant":"#bcbcbc"},"viewCount":48,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":15,"impressionCount":440,"slug":"elevenlabs-automations-engineer-internal-ai-YeR55k","isFresh":true,"featured":false},{"title":"Forward Deployed AI Engineer","companyName":"indigo.ai","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://indigo.ai&size=128","companyWebsite":"https://indigo.ai","description":"<p>indigo.ai is the leading platform in Italy for building next-generation AI Agents that transform how companies communicate with their customers. Since 2016 it has helped enterprises in finance, insurance, utilities, retail, and e-commerce evolve their customer experience through conversational AI.</p>\n<p>As a Forward Deployed AI Engineer (Milan, hybrid), the core of the role is functional, architectural and experiential: your value is imagining how an assistant should work (its architecture, flows, and behavior) and making it actually work in production with enterprise customers.</p>\n<h4>What you'll do:</h4>\n<ul><li>Architect agentic systems: routing, guardrails, and flow design.</li><li>Control hallucinations and define agent boundaries.</li><li>Translate business objectives into agent behavior.</li><li>Manage UX across voice, chat, and messaging channels.</li><li>Direct AI coding tools (e.g. Claude Code) for implementation.</li><li>Deploy to production and iteratively optimize.</li><li>Guide and enable clients in their decisions, coordinating cross-functionally.</li></ul>\n<h4>Requirements:</h4>\n<ul><li>Agentic architectural judgment — designing systems end-to-end.</li><li>Hallucination prevention and reliability control.</li><li>Product/functional mindset with UX orientation.</li><li>Daily use of agentic coding tools.</li><li>Demonstrated experience shipping virtual assistants or AI products.</li><li>API integration awareness, security/data governance basics, ability to read Python, GDPR/EU AI Act familiarity.</li><li>Native Italian + fluent English.</li></ul>\n<p>Nice-to-have: conversational platform experience, no-code automation tools (n8n, Make, Zapier), enterprise client exposure, Spanish.</p>\n<p>Compensation: competitive (fixed + variable), aligned to seniority and market benchmarks, plus performance bonus.</p>","location":"Milan, Italy","city":"Milan","locationType":"hybrid","employmentType":"full-time","seniority":"senior","salaryMin":null,"salaryMax":null,"salaryCurrency":null,"applyMethods":[{"type":"url","value":"https://careers.indigo.ai/jobs/7982075-forward-deployed-ai-engineer-milan"}],"postedAt":"2026-07-07T07:23:52.153Z","expiresAt":"2026-08-06T00:00:00.000Z","aiInfrastructure":[],"techStackTags":["AI agents","LLM","Python","conversational AI"],"agenticFrameworks":["n8n"],"geoRegion":"eu","countries":["IT"],"remoteScope":"hybrid","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#84847c","vibrant":"#868378","darkMuted":"#443c3c","lightMuted":"#bcbab4","darkVibrant":"#46443e","lightVibrant":"#c0beb8"},"viewCount":6,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":0,"impressionCount":311,"slug":"indigoai-forward-deployed-ai-engineer-mVz_Qr","isFresh":true,"featured":false},{"title":"Founding Engineer","companyName":"Talk Machine","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://talkmachine.com&size=128","companyWebsite":"https://talkmachine.com","description":"<p>Talk Machine | Founding Engineers | Remote (or London, Europe, Dubai) https://talkmachine.com/jobs/engineer https://talkmachine.com/jobs/mobile Hello. I'm the founder of Talk Machine, previously founded Citymapper. We had great success in posting here last time, and hired some members of our initial team. We have raised some additional financing now so would like to expand our team further. We're building a consumer voice product over email. We believe in real human voice and conversation on an internet dominated by text. We've also added some amazing consumer voice agents that let you talk to technology, such as your email, calendar and news. Please try them out on mobile at https://talkmachine.com/apps or on web at https://talkmachine.com . As you can imagine, our application process is unique. Just go to https://talkmachine.com/jobs/ and send us a voice note and we can begin talking, just like we met in person. We are a remote company, funded with significant runway, can pay competitively and offer quality stock options. You like: talking, consumer, voice, AI, small fast teams, building great products and technology. You can also reach out to me personally at https://talkmachine.com/az .</p>","location":"Remote (or London, Europe, Dubai)","city":null,"locationType":"remote","employmentType":"full-time","seniority":"senior","salaryMin":null,"salaryMax":null,"salaryCurrency":null,"applyMethods":[{"type":"url","value":"https://talkmachine.com/jobs/engineer"}],"postedAt":"2026-07-07T07:23:52.153Z","expiresAt":"2026-08-06T00:00:00.000Z","aiInfrastructure":[],"techStackTags":[],"agenticFrameworks":[],"geoRegion":"global","countries":[],"remoteScope":"global","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#8b230d","vibrant":"#cc3414","darkMuted":"#8b230d","lightMuted":"#812a17","darkVibrant":"#781e0b","lightVibrant":"#eca494"},"viewCount":10,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":4,"impressionCount":385,"slug":"talk-machine-founding-engineer-GKZ4GS","isFresh":true,"featured":false},{"title":"Applied AI Engineer, Sarvam Agents","companyName":"Sarvam AI","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://sarvam.ai&size=128","companyWebsite":"https://www.sarvam.ai","description":"<p>Sarvam is building India's full-stack sovereign AI platform (backed by Lightspeed, Peak XV, and Khosla Ventures) across speech, text, translation, and conversational agents. As an Applied AI Engineer on the Sarvam Agents team, you own production AI agents end-to-end.</p>\n<h4>Responsibilities:</h4>\n<ul><li>Build agents end-to-end: flow design, prompting, tool definitions, memory, evaluation, deployment.</li><li>Own agent reliability in production: debugging real failures, designing guardrails.</li><li>Manage the agent runtime, OAuth/SaaS integrations, MCP server infrastructure, memory systems, multi-tenancy, evaluation frameworks, and observability.</li></ul>\n<h4>Requirements:</h4>\n<ul><li>2+ years Python backend development.</li><li>LLM API fluency: prompt design, structured outputs, function calling.</li><li>RAG patterns: chunking, embeddings, hybrid search, reranking, vector databases.</li><li>Experience with agentic frameworks (LangGraph, ADK, or equivalent).</li><li>PostgreSQL/MySQL, Redis, production MCP server experience.</li><li>Observability tools (Signoz, Datadog); eval frameworks (LangSmith, Braintrust) a bonus.</li></ul>","location":"Bengaluru, India","city":"Bengaluru","locationType":"remote","employmentType":"full-time","seniority":"mid","salaryMin":null,"salaryMax":null,"salaryCurrency":null,"applyMethods":[{"type":"url","value":"https://jobs.ashbyhq.com/sarvam/30259734-50c3-4f1c-81cd-8bff07e585e7"}],"postedAt":"2026-07-07T07:23:52.153Z","expiresAt":"2026-08-06T00:00:00.000Z","aiInfrastructure":["Braintrust","LangSmith","MCP"],"techStackTags":["MySQL","PostgreSQL","Python","RAG","Redis","vector databases"],"agenticFrameworks":["Google ADK","LangGraph"],"geoRegion":"apac","countries":["IN"],"remoteScope":"hybrid","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#818181","vibrant":"#7f7f7f","darkMuted":"#444444","lightMuted":"#bcbcbc","darkVibrant":"#424242","lightVibrant":"#bcbcbc"},"viewCount":87,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":29,"impressionCount":656,"slug":"sarvam-ai-applied-ai-engineer-sarvam-agents-1ZM3js","isFresh":true,"featured":false},{"title":"Forward Deployed Software Engineer","companyName":"Sarvam AI","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://sarvam.ai&size=128","companyWebsite":"https://www.sarvam.ai","description":"<p>Sarvam AI is building India's full-stack sovereign AI platform across speech, text, translation, and conversational agents. As a Forward Deployed Software Engineer (2-5 years), you deploy Sarvam's AI agents into client and partner production environments end-to-end.</p>\n<h4>Responsibilities:</h4>\n<ul><li>Build, deploy, monitor, and evaluate conversational AI agents across channels — Voice, WhatsApp, website.</li><li>Own end-to-end deployment of Sarvam's dubbing and live translation APIs into client and partner production.</li><li>Scope and design end-to-end technical solutions for client requirements, translating business needs into production-ready architectures.</li><li>Build MCP (Model Context Protocol) servers and agentic backend infrastructure that power Sarvam's AI agents.</li><li>Design and maintain data pipelines using messaging systems like Kafka, SQS, or RabbitMQ.</li></ul>\n<h4>Requirements:</h4>\n<ul><li>Python fluency across the full stack.</li><li>Deep understanding of how LLMs and agents work — context windows, tokens, embeddings, RAG, tool calling.</li><li>Experience designing and implementing multi-agent architectures, including memory management.</li><li>Ability to set up eval pipelines and define meaningful quality metrics for agentic AI systems.</li><li>Familiarity with LangChain, LlamaIndex, CrewAI, LangGraph; Kafka/SQS/RabbitMQ; SQL/NoSQL; voice/speech models (TTS, STT, ASR).</li></ul>","location":"Bengaluru, India","city":"Bengaluru","locationType":"remote","employmentType":"full-time","seniority":"mid","salaryMin":null,"salaryMax":null,"salaryCurrency":null,"applyMethods":[{"type":"url","value":"https://jobs.ashbyhq.com/sarvam/ac2b835e-375c-48d8-a174-8c2935f408b2"}],"postedAt":"2026-07-07T07:23:52.153Z","expiresAt":"2026-08-06T00:00:00.000Z","aiInfrastructure":["MCP"],"techStackTags":["ASR","Kafka","Python","RAG","RabbitMQ","STT","TTS","tool calling"],"agenticFrameworks":["CrewAI","LangChain","LangGraph","LlamaIndex"],"geoRegion":"apac","countries":["IN"],"remoteScope":"country-specific","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#818181","vibrant":"#7f7f7f","darkMuted":"#444444","lightMuted":"#bcbcbc","darkVibrant":"#424242","lightVibrant":"#bcbcbc"},"viewCount":67,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":15,"impressionCount":697,"slug":"sarvam-ai-forward-deployed-software-engineer-4YF71Q","isFresh":true,"featured":false},{"title":"AI Engineer (NLP, RAG)","companyName":"Andersen Lab","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://andersenlab.com&size=128","companyWebsite":"https://andersenlab.com","description":"<p>Andersen Lab is hiring a Senior AI Engineer (NLP, RAG), 100% remote for candidates residing in Mexico (Pacific Time alignment), to build production multi-agent retrieval systems. The role develops GenAI solutions for intelligent document processing, knowledge retrieval, and automation.</p>\n<h4>Responsibilities:</h4>\n<ul><li>Building hierarchical and multi-agent RAG systems with robust orchestration layers (LangChain, LangGraph; LlamaIndex is a plus).</li><li>Applying advanced retrieval and pre-processing/chunking strategies (semantic chunking, late/latent chunking, re-ranking models).</li><li>Ensuring scalability across data sources and defining evaluation metrics.</li><li>Implementing ingestion workflows using Unstructured.io and Pydantic.</li><li>Building and deploying services with Docker, AWS ECS, and Lambda.</li></ul>\n<h4>Requirements:</h4>\n<ul><li>5+ years hands-on AI/ML engineering with production Python.</li><li>Proven experience with advanced agentic RAG — hierarchical and/or multi-agent architectures.</li><li>Advanced retrieval strategy expertise (semantic chunking, re-ranking).</li><li>Experience with GenAI orchestration frameworks (LangChain, LangGraph, or custom LLM orchestration layers).</li><li>AWS cloud-native development (Docker, ECS, Lambda, Textract, Bedrock); OCR/document intelligence (Azure Document Intelligence).</li><li>Production MCP experience; Upper-Intermediate English minimum.</li></ul>\n<p>Desirable: Vision-Language Models, AWS Bedrock (Claude/Sonnet), Azure embeddings, GCP Vertex AI.</p>\n<p>Benefits: private health insurance, sports activity compensation, mentoring and adaptation systems, professional/financial/career growth.</p>","location":"Remote (Mexico)","city":null,"locationType":"remote","employmentType":"full-time","seniority":"senior","salaryMin":null,"salaryMax":null,"salaryCurrency":null,"applyMethods":[{"type":"url","value":"https://www.getonbrd.com/jobs/machine-learning-ai/ai-engineer-nlp-rag-andersen-lab-remote"}],"postedAt":"2026-07-07T07:23:52.153Z","expiresAt":"2026-08-06T00:00:00.000Z","aiInfrastructure":["AWS Bedrock","MCP"],"techStackTags":["AWS","Docker","Pydantic","Python","RAG","Unstructured.io","re-ranking"],"agenticFrameworks":["LangChain","LangGraph","LlamaIndex"],"geoRegion":"latam","countries":["MX"],"remoteScope":"country-specific","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#978301","vibrant":"#fcdc0a","darkMuted":"#978301","lightMuted":"#968002","darkVibrant":"#827101","lightVibrant":"#fce666"},"viewCount":66,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":14,"impressionCount":616,"slug":"andersen-lab-ai-engineer-nlp-rag-h2_8P_","isFresh":true,"featured":false},{"title":"Founding AI Engineer & Architect","companyName":"The Link Housing","companyLogoUrl":"https://sntx9f48h9yditjs.public.blob.vercel-storage.com/logos/4194db79-e7d4-447e-a87f-30cd6e3072a2.webp","companyWebsite":null,"description":"<p>The Link Housing is a profitable, founder-led firm serving insurance-displaced families in California, building AI infrastructure for the $20B+ relocation industry (an industry that runs on email, spreadsheets, and phone calls). As Founding AI Engineer &amp; Architect (fully remote, worldwide), you own the entire AI roadmap and design and scale multi-agent AI systems on the Anthropic Claude API.</p>\n<h4>Current tech stack:</h4>\n<ul><li>Claude API (primary).</li><li>An 8-agent SAM.gov pipeline that scans federal solicitations, extracts requirements from fillable PDFs, and drafts responses.</li><li>An email triage agent (Gmail + Monday.com sync).</li><li>MCP servers, orchestration on a dedicated mini-PC.</li><li>Integrations: SAM.gov, Google Places, CRM.</li></ul>\n<p>What you'll build: scaling agents, multi-agent orchestration, tool use, error handling, evals, observability, and customer-facing AI tools (intake, tenant portal, property matching). Roadmap: voice agents (Vapi, Retell, ElevenLabs), computer-use agents, and RAG over placement history.</p>\n<p>Stack: Node.js (primary) or Python, MCP (Model Context Protocol), PDF parsing (pdf-lib, pdftotext, pdf-parse), Google Workspace APIs, Monday.com API, Claude API.</p>\n<h4>Requirements:</h4>\n<ul><li>5+ years software engineering; 2-3 years production LLM applications.</li><li>Deep, hands-on experience with the Anthropic Claude API.</li><li>Demonstrated multi-agent system design end-to-end (orchestration, tool use, error handling, evals, observability).</li><li>Strong Node.js or Python (willing to work in Node).</li><li>Fluent English; able to be the most senior AI technical person in the room.</li></ul>\n<p>Bonus: MCP server experience; real estate/insurance/government contracting background; open-source AI contributions; prompt eval frameworks (Promptfoo, Braintrust, LangSmith); PDF parsing at scale.</p>\n<p>Conditions: first dedicated AI/engineering hire, direct founder partnership, fully remote and async-first, competitive comp, profitable business (not runway-dependent).</p>","location":"Remote (worldwide)","city":null,"locationType":"remote","employmentType":"full-time","seniority":"senior","salaryMin":49200,"salaryMax":78000,"salaryCurrency":"USD","applyMethods":[{"type":"url","value":"https://www.getonbrd.com/jobs/machine-learning-ai/founding-ai-engineer-architect-the-link-housing-remote"}],"postedAt":"2026-07-07T07:23:52.153Z","expiresAt":"2026-08-06T00:00:00.000Z","aiInfrastructure":["Anthropic","MCP"],"techStackTags":["Node.js","Python","RAG","computer-use agents","multi-agent"],"agenticFrameworks":[],"geoRegion":"global","countries":[],"remoteScope":"global","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":null,"viewCount":23,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":6,"impressionCount":389,"slug":"the-link-housing-founding-ai-engineer-and-architect-0z6cGE","isFresh":true,"featured":false},{"title":"Director of Engineering","companyName":"Aware Health","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://awarehealth.io&size=128","companyWebsite":"https://awarehealth.io","description":"<p>Aware Health | ONSITE Hybrid 3 days/wk in San Francisco | Full time | https://awarehealth.io Come build the future of orthopedic care with us! I'm expanding my team again at Aware Health, and I'm hiring a Director of Engineering to help us develop innovative AI agents and AI-powered product solutions in healthcare. We’re a rapidly growing startup on a mission to deliver high-quality, $0 orthopedic care to people across the U.S. If you (or someone you know) has expertise in Golang, TypeScript, Python, and a strong desire to build AI in healthcare, please apply or share: https://www.awarehealth.io/careers/dir-of-engineering Why Aware Health? → An MSK product that works — led by our CEO, a world-leading researcher in Direct Access MSK outcomes (NPS: 91+) → Real momentum — we’ve more than doubled revenue and covered lives 2 years in a row → A small but mighty product team (product, data, engineering, AI) → A culture of meritocracy and high-performance (work with smart, driven colleagues) Mention Hacker News in your application.</p>","location":"San Francisco (hybrid 3 days/wk)","city":"San Francisco","locationType":"hybrid","employmentType":"full-time","seniority":"lead","salaryMin":null,"salaryMax":null,"salaryCurrency":null,"applyMethods":[{"type":"url","value":"https://www.awarehealth.io/careers/dir-of-engineering"}],"postedAt":"2026-07-07T07:23:52.153Z","expiresAt":"2026-08-06T00:00:00.000Z","aiInfrastructure":[],"techStackTags":["Go","Python","TypeScript"],"agenticFrameworks":[],"geoRegion":"us","countries":["US"],"remoteScope":"hybrid","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#9c9c9c","vibrant":"#305cc8","darkMuted":"#1d387b","lightMuted":"#bcbcbc","darkVibrant":"#19316a","lightVibrant":"#90acf4"},"viewCount":6,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":0,"impressionCount":358,"slug":"aware-health-director-of-engineering-en42ZA","isFresh":true,"featured":false},{"title":"Senior Software Engineer","companyName":"Distru","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://distru.com&size=128","companyWebsite":"https://www.distru.com","description":"<p>Distru ( https://www.distru.com ) | Senior Software Engineer | REMOTE (Americas &amp; Europe) | Full-Time | $120,000 - $160,000 USD/year</p>\n<p>Distru is the #1 ERP in the cannabis industry — $3B in annual sales flows through our platform, and most of the top cannabis brands and distributors in the US run their entire operation on us to stay compliant. We're profitable, stable, and growing, with no runway anxiety, and we're reinvesting into new product lines. We're an intrinsically motivated team that works without ego, is constantly learning, and genuinely cares about our people (5/5 on Glassdoor).</p>\n<p>Distru is at an inflection point. We have deep market penetration in cannabis ERP, a new commerce layer (Distru Commerce — a B2B wholesale marketplace) live and growing, and a roadmap with a growing AI component. Our live AI Order Agent already lets buyers submit orders in any format from any source, killing manual data entry, the first of many bets on using AI to strip the repetitive heavy lifting out of running an ERP.</p>\n<p>The role: You'll own mission-critical, full-stack features end to end — planning, design, implementation, testing — across every part of the product. You might work on AI-native features (order/purchase intake, smart product matching, systems that learn from user feedback), Distru Commerce storefronts and ordering, manufacturing and distribution workflows, cultivation mobile tools for the floor, or compliance integrations with state systems like Metrc. It's a high-ownership role: you'll partner directly with product, design, support, and our C-suite, and you'll get customers writing you personal \"thank you\" emails.</p>\n<p>What we're looking for: proficiency with our modern stack (React, TypeScript, GraphQL, Elixir/Phoenix, Postgres), hands-on experience using AI coding tools, an early-stage startup background, proven end-to-end feature ownership, strong SQL/Postgres skills, and clear communication.</p>\n<p>Engineering culture: 7 senior engineers (half US-based, half Europe-based), daily deployments, ~90% uninterrupted focus time, no on-call, peer code reviews, and extensive automated testing.</p>\n<p>Interview process: intro call, technical discussion, take-home assignment, and a final CTO conversation.</p>\n<p>Stack: React + TypeScript · Elixir/Phoenix + GraphQL · PostgreSQL · React Native</p>","location":"Remote (Americas & Europe)","city":null,"locationType":"remote","employmentType":"full-time","seniority":"senior","salaryMin":120000,"salaryMax":160000,"salaryCurrency":"USD","applyMethods":[{"type":"url","value":"https://jobs.lever.co/distru/5cc536aa-86cc-4164-bfc8-8f19ce22dc08"}],"postedAt":"2026-07-07T07:23:52.153Z","expiresAt":"2026-08-06T00:00:00.000Z","aiInfrastructure":["Arize Phoenix"],"techStackTags":["Elixir","GraphQL","PostgreSQL","React","React Native","TypeScript"],"agenticFrameworks":[],"geoRegion":"global","countries":[],"remoteScope":"global","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#589e70","vibrant":"#64bc7c","darkMuted":"#4c8464","lightMuted":"#acd4b4","darkVibrant":"#285c36","lightVibrant":"#acd8bc"},"viewCount":16,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":2,"impressionCount":405,"slug":"distru-senior-software-engineer-uQwE8I","isFresh":true,"featured":false},{"title":"Lead AI Integration Engineer","companyName":"3Pillar","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://3pillarglobal.com&size=128","companyWebsite":"https://3pillarglobal.com","description":"<p>Key Responsibilities</p>\n<p>Design, build, and deploy intelligent backend services using Python and Azure AI Foundry.</p>\n<p>Consume Force Account outputs by API, ensuring the system can accurately display and act on data classification and extraction.</p>\n<p>Engineer and optimize Retrieval-Augmented Generation (RAG) pipelines over Standard Operating Procedures (SOPs) to provide contextual, accurate, and actionable insights to users.</p>\n<p>Deliver assistive intelligence directly on the case, seamlessly integrating AI outputs into the end-user's workflow.</p>\n<p>Design and strictly enforce a redact-before-model discipline, ensuring that all Personally Identifiable Information (PII) is stripped from payloads before data ever reaches a foundational model.</p>\n<p>Collaborate with product, design, and engineering teams to shape AI features and translate business goals into technical execution.</p>\n<p>Proactively identify AI-driven automation and product improvement opportunities, building prototypes to prove value.</p>\n<p>Mentor junior engineers and champion secure, responsible AI coding practices within your team.&amp;nbsp;</p>\n<p>Troubleshoot AI-specific technical challenges, including prompt injection risks, model latency, and data leakage.</p>\n<p>Guide team members on model selection, evaluation, fine-tuning, and Gen AI usage.</p>\n<p>Actively evaluate emerging LLM tooling, agentic frameworks, and open-source developments for applicability to client engagements.</p>\n<p>Own the architecture of the team's agentic and LLM systems — agent orchestration, tool integration (e.g., Model Context Protocol), retrieval, and human-in-the-loop design.</p>\n<p>Design and implement evaluation frameworks for LLM and agentic systems — covering correctness, boundary, and intent checks — as a standard part of delivery.</p>\n<p>Drive adoption of the agentic SDLC across the team: select and roll out AI engineering tools, define usage and governance standards, and measure their impact on delivery velocity and quality.</p>\n<p>Establish responsible-AI and evaluation frameworks for agentic systems — guardrails, safety testing, human oversight, and model governance.</p>\n<p>Minimum Qualifications</p>\n<p>A minimum of 8+ years of experience in software engineering, with at least 2+ years of hands-on experience integrating LLMs and building AI-driven applications.</p>\n<p>Demonstrated experience architecting and deploying LLM-based or agentic systems in production, including prompt design, retrieval architecture, and tool/function calling (e.g., MCP)</p>\n<p>Hands-on experience with leading LLMs and APIs, including OpenAI, Google Gemini, and Anthropic Claude.</p>\n<p>Experience evaluating and selecting open-source and proprietary LLMs (e.g., OpenAI via Azure AI Foundry) based on accuracy, latency, scalability, cost, and overall performance for production AI solutions.</p>\n<p>Knowledge of vector stores, embeddings (LangChain, LlamaIndex, etc.).</p>\n<p>High level of English proficiency required to interact with a globally-based development team and client stakeholders.</p>\n<p>Deep expertise in Python for backend services and AI integration (replacing traditional Java/C# requirements).</p>\n<p>Demonstrated, hands-on experience utilizing Azure AI Foundry to build, deploy, and manage AI models and agents.</p>\n<p>Proven track record of building and managing complex API integrations for data ingestion, extraction, and classification.</p>\n<p>Strong understanding of security engineering, specifically implementing PII redaction, anonymization pipelines, and secure data handling in AI workflows.</p>\n<p>Experience delivering well-tested, scalable, secure, and performant enterprise-level systems that achieve client business outcomes.</p>\n<p>Strong track record of working within Agile software development frameworks.&amp;nbsp;</p>\n<p>Proficiency with AI-assisted development tools (Claude Code, Cursor, GitHub Copilot) as a core daily practice, including pipeline construction, test generation, and documentation.</p>\n<p>Additional Experience Desired</p>\n<p>Strong programming skills in Python, and familiarity with libraries such as PyTorch, TensorFlow, and Scikit-Learn.</p>\n<p>Exposure to Matplotlib, Seaborn, or Plotly</p>\n<p>Familiarity with building and operating Cloud Native applications, including infrastructure-as-code and observability practices.</p>\n<p>Experience with at least one cloud platform and CI/CD for ML (GitHub Actions, MLflow, etc.).</p>\n<p>Familiarity with emerging AI Regulations (e.g., EU AI Act, NIST AI RMF) and practical implementation of AI safety guardrails.</p>\n<p>Benefits</p>\n<p>Medical Insurance benefits as per company policy.&amp;nbsp;</p>\n<p>Life Insurance as per company policy</p>\n<p>12 days of paid vacation, sick leave and paid holidays as per local law</p>\n<p>Paternity and maternity leave as per as per local law</p>\n<p>Marriage, bereavement and graduation leaves as per company policy</p>\n<p>Sick leave and paid holidays as per local law</p>\n<p>Christmas bonus as per local law</p>\n<p>Saving Fund “Asociacion Solidarista”</p>\n<p>Beach house (Managed by the Asociacion Solidarista)</p>\n<p>Discounts in local shops</p>\n<p>Direct deposit of payroll.</p>\n<p>Paid professional certifications</p>\n<p>What It's Like to Work at 3Pillar</p>\n<p>At 3Pillar, we create an environment where people can do their best work while maintaining a healthy work-life balance.</p>\n<p>Flexibility &amp;amp; Well-being – Our remote-first approach gives you the flexibility to work where you perform best, while prioritizing your well-being and personal commitments.</p>\n<p>Global Community – Collaborate with talented colleagues across the globe in a culture built on connection, support, and shared success.</p>\n<p>Your Voice Matters – We foster open communication and multiple feedback channels, ensuring every employee has the opportunity to be heard and make an impact.</p>\n<p>Growth &amp;amp; Development – Gain exposure to diverse clients, industries, and challenges that accelerate learning and career growth.</p>\n<p>Our culture is guided by four core values: Collaboration, Outperform, Respect, and Evolve—the principles that shape how we work, grow, and succeed together.</p>","location":"Costa Rica","city":null,"locationType":"remote","employmentType":"full-time","seniority":"lead","salaryMin":null,"salaryMax":null,"salaryCurrency":null,"applyMethods":[{"type":"url","value":"https://jobs.lever.co/3pillarglobal/e8b567bf-183a-4d82-a6db-c22ad4b698fa"}],"postedAt":"2026-07-07T07:23:52.152Z","expiresAt":"2026-08-06T00:00:00.000Z","aiInfrastructure":["Azure AI Foundry","MCP"],"techStackTags":["Python","RAG","agent 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Vapi is the platform for deploying voice agents that know your business and can listen, adapt, and resolve in minutes.</p>\n<ul><li>The numbers: 1 billion calls. 1 million developers. 10x enterprise ARR growth</li><li>The customers: Amazon Ring, ServiceTitan, New York Life, Intuit, Kavak, and thousands more, from YC startups to the Fortune 500</li><li>The news: a $50M Series B led by Peak XV Partners, with Bessemer Venture Partners, Kleiner Perkins, M12 (Microsoft's Venture Fund), Y Combinator, and our earlier backers. Total raised: $72M</li></ul>\n<p>MEMBER OF TECHNICAL STAFF, BACKEND</p>\n<p>WHY WE'RE HIRING THIS ROLE</p>\n<ul><li>1M+ developers and 2.7M+ agents are built on our product surface.</li><li>Every assistant lives in our dashboard: Composer, Simulations, Monitoring, Knowledge Base, Versioning, Deployments. Non-deterministic systems, real-time call observability, eval loops, and a builder UX that has to feel like magic.</li><li>We're shipping the loops that take an agent from \"demo\" to \"live in production for the Fortune 500.\"</li><li>It's freakin hard and a lot of fun.</li></ul>\n<p>WHAT YOU'LL DO</p>\n<h4>First 30 Days:</h4>\n<ul><li>Make real calls. Build real assistants on Vapi across our main provider integrations (LLMs, STT, TTS, telephony). Get a working mental model of the platform end to end.</li><li>Ship your first product feature into customer hands.</li></ul>\n<h4>By 60 Days:</h4>\n<ul><li>Own a product area outright within the agent self-improvement loop or the trust and guardrails platform.</li><li>Drive a feature from spec to ship with PM and design, including the eval and rollout loops.</li><li>Use AI coding agents (Claude Code, Cursor, or similar) as a serious lever on your throughput.</li></ul>\n<h4>By 90 Days:</h4>\n<ul><li>Operate as a full peer to engineers on the team, owning your area without handholding.</li><li>Run the agent improvement loop end to end in your domain: authoring, evaluation, deployment, observation, iteration.</li><li>Be a core voice in product decisions, with multiple shipped features on your watch.</li></ul>\n<p>WHO YOU ARE<br/>Must-Haves</p>\n<ul><li>5+ years building product, with 2+ at an early-stage company.</li><li>Strong full-stack engineer, fluent in TypeScript, React, and a Node-based backend.</li><li>Track record shipping beautiful product surfaces that customers love and competitors copy.</li><li>Product instinct. You read a half-formed problem and figure out the right shape before someone hands you a spec.</li><li>Daily use of AI coding agents (Claude Code, Cursor, or similar) with opinions about where they help and where they don't.</li><li>Self-directed. You read the PR, open the product, and start building without waiting on permission.</li><li>Customer empathy and a bias for action.</li></ul>\n<p>Nice-to-Haves</p>\n<ul><li>Background in voice AI, conversational AI, LLM applications, or telephony.</li><li>Worked on a developer-facing product (APIs, SDKs, dashboards).</li><li>You've built your own startup, or shipped a side project people actually use.</li><li>Open-source contributions or public writing.</li></ul>\n<p>WHAT WE OFFER: Competitive salary and excellent equity ownership; comprehensive medical, dental, and vision; quarterly off-sites; flexible time off; catered meals, transportation, gym, and a $10k annual L&amp;D budget. Location: San Francisco (onsite).</p>","location":"San Francisco","city":"San Francisco","locationType":"onsite","employmentType":"full-time","seniority":"senior","salaryMin":200000,"salaryMax":280000,"salaryCurrency":"USD","applyMethods":[{"type":"url","value":"https://jobs.ashbyhq.com/vapi/d270d613-30b8-4fdc-96e0-514993ca7a82"}],"postedAt":"2026-07-07T07:23:52.152Z","expiresAt":"2026-08-06T00:00:00.000Z","aiInfrastructure":[],"techStackTags":["Node.js","React","TypeScript","Voice AI"],"agenticFrameworks":[],"geoRegion":"us","countries":["US"],"remoteScope":"onsite","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#7c7c7c","vibrant":"#7f7f7f","darkMuted":"#4c4c4c","lightMuted":"#bcbcbc","darkVibrant":"#424242","lightVibrant":"#bcbcbc"},"viewCount":2,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":0,"impressionCount":202,"slug":"vapi-member-of-technical-staff-backend-UpIwjk","isFresh":true,"featured":false},{"title":"Lead Engineer - AI Studio","companyName":"HighLevel","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://gohighlevel.com&size=128","companyWebsite":"https://gohighlevel.com","description":"<p>About Highlevel<br/>HighLevel is an AI-powered business operating system that gives agencies, entrepreneurs and SMBs the infrastructure to build, automate and scale. Today, HighLevel supports SMBs across 150+ countries, fueling community-driven growth rooted in real customer outcomes.<br/>To date, businesses operating on HighLevel have generated over $7 billion in ecosystem value, demonstrating the impact of shared infrastructure at scale. By centralizing conversations, automation and intelligence into one system, we help businesses move faster, reduce complexity and execute efficiently.<br/>Behind the platform, HighLevel powers more than 4 billion API hits and 2.5 billion message events daily. With 250 terabytes of distributed data, 250+ microservices and over 1 million domain names supported, our architecture is built for performance, resilience and long-term scalability.<br/>Our people</p>\n<p>With over 2,000 team members across 10+ countries, HighLevel operates as a global, remote-first organization built for speed and ownership. We value initiative, clarity and execution, creating space for ambitious people to build systems that support millions of businesses worldwide. Here, innovation thrives, ideas are celebrated and people come first, no matter where they call home.<br/>Our impact<br/>Every month, HighLevel enables more than 1.5 billion messages, 200 million leads and 20 million conversations for the more than 1 million businesses we support. Behind those numbers are real people building independence, expanding opportunity and creating measurable impact. We’re proud to be a part of that.<br/>Learn more about us on our  YouTube Channel or Blog Posts<br/>About the Role<br/>We’re looking for a Lead Software Engineer to join our AI Studio Team, the group responsible for building AI Studio — an AI-based React application builder that generates production-ready websites and other React applications from natural language, which users can then connect to custom domains and publish live to the internet — from prompt-driven app generation, component and layout creation, automated copy/design generation, real-time preview and editing, to one-click deployment across our product ecosystem.<br/>This team owns the intelligence layer that helps millions of SMBs build production-ready websites and React applications without technical expertise. The AI Studio platform orchestrates complex workflows across data processing, LLM-powered reasoning, code and component generation, design generation, and live deployment to custom domains. With millions of applications and billions of visitor interactions flowing through our systems, reliability, correctness, and performance are mission-critical.</p>\n<p>EEO Statement<br/>The company is an Equal Opportunity Employer. As an employer subject to affirmative action regulations, we invite you to voluntarily provide the following demographic information. This information is used solely for compliance with government record keeping, reporting, and other legal requirements. Providing this information is voluntary and refusal to do so will not affect your application status. This data will be kept separate from your application and will not be used in the hiring decision.</p>\n<p>Responsibilities</p>\n<p>As a Lead Engineer, you will drive the technical direction for our AI-driven application-builder architecture, lead complex system design decisions, and serve as a hands-on technical leader and mentor for the engineers building AI Studio’s app generation engine, React website/app builder, design and component systems, domain publishing pipeline, and AI Agents. This is a hands-on individual contributor role — you’ll spend the majority of your time designing systems and writing production code — while partnering closely with product, infra, and design to shape the roadmap, raise engineering standards, and deliver intuitive, generative, high-performance user experiences at scale.<br/>Architecture &amp;amp; Platform Ownership</p>\n<p>Own architecture and scaling decisions for core AI Studio platform components (e.g., App Generation Engine, React Build &amp;amp; Render Pipeline, Domain &amp;amp; Publishing Pipeline, AI Content Systems)</p>\n<p>Lead design and implementation of cross-cutting initiatives to improve system responsiveness, generation accuracy, and platform robustness</p>\n<p>Build scalable, fault-tolerant LLM pipelines for content generation, layout creation, experimentation, and AI-driven user guidance</p>\n<p>AI &amp;amp; Distributed Systems Engineering</p>\n<p>Work hands-on with technologies like Go, NestJS, Node, PostgreSQL, Firestore, Vector Databases, Cloudflare Workers, Cloudflare KV, and microservices</p>\n<p>Design distributed systems that handle high-throughput generative and analytical workloads while ensuring correctness and low latency</p>\n<p>Build and optimize embeddings pipelines, retrieval-augmented generation (RAG), and multi-agent orchestration frameworks</p>\n<p>Quality, Observability &amp;amp; Reliability</p>\n<p>Drive improvements in observability using Prometheus/Grafana, OpenTelemetry, and structured logging</p>\n<p>Establish and maintain SLOs for generation latency, correctness, model safety, and system uptime</p>\n<p>Strengthen resiliency and failover strategies to ensure seamless user experiences during traffic spikes and model load variations</p>\n<p>AI Guardrails, Safety &amp;amp; Tooling</p>\n<p>Implement hallucination mitigation strategies (code constraints, structured outputs, model verification layers, retrieval guards, test scaffolding)</p>\n<p>Collaborate with infra and security to enforce data governance, access control, privacy boundaries, and compliance around user-generated data</p>\n<p>Leverage LLMs and AI tools to write, test, and debug code — while driving standards that ensure reliability and consistency across engineering teams</p>\n<p>Technical Leadership &amp;amp; Collaboration</p>\n<p>Mentor engineers through code reviews, design discussions, and pairing, leading by influence to promote technical excellence, code quality, and a high-ownership culture (this is an individual contributor role with no direct reports)</p>\n<p>Partner with PMs, designers, and other engineering leaders to define long-term roadmap and deliver high-performing AI-powered application-building features</p>\n<p>Participate in reviews, deep dives, and on-call rotations to maintain a culture of accountability and operational excellence</p>\n<p>Requirements</p>\n<p>Core Experience</p>\n<p>6+ years of backend engineering experience, including distributed system design and high-scale platform development</p>\n<p>Strong proficiency in Go (Golang) for building high-performance, concurrent backend services, alongside Node/NestJS experience</p>\n<p>Hands-on experience building and operating edge/serverless services with Cloudflare Workers and Cloudflare KV (or comparable edge compute and distributed key-value stores)</p>\n<p>Deep expertise in event-driven architectures, asynchronous workflows, and high-throughput data pipelines.</p>\n<p>Strong command of relational (PostgreSQL) and NoSQL data models, query optimization, and complex transactional data</p>\n<p>Fluency in LLM integrations, vector search, embeddings, RAG patterns, and generative AI frameworks</p>\n<p>Familiarity with frontend architecture using Vue, and a solid understanding of UI/UX principles</p>\n<p>Operational Excellence</p>\n<p>Experience with monitoring, alerting, and incident response for production systems</p>\n<p>Strong instincts for scaling, latency optimization, and reliability under real-world load</p>\n<p>AI &amp;amp; LLM Safety</p>\n<p>Experience implementing structured generation, verification layers, retrieval-based grounding, and guardrails to reduce hallucinations</p>\n<p>Understanding of prompt engineering patterns, context injection, and model evaluation</p>\n<p>Soft Skills</p>\n<p>Exceptional communication and cross-functional leadership capabilities</p>\n<p>Pragmatic decision-making with a balance of long-term vision and iterative execution</p>","location":"India","city":null,"locationType":"remote","employmentType":"full-time","seniority":"lead","salaryMin":null,"salaryMax":null,"salaryCurrency":null,"applyMethods":[{"type":"url","value":"https://jobs.lever.co/gohighlevel/29c16f45-a4ca-4eb8-bc4a-1738dc9219c1"}],"postedAt":"2026-07-07T07:23:52.152Z","expiresAt":"2026-08-06T00:00:00.000Z","aiInfrastructure":[],"techStackTags":["Cloudflare Workers","Firestore","Go","LLM","NestJS","Node.js","PostgreSQL","RAG","agents","vector database"],"agenticFrameworks":[],"geoRegion":"apac","countries":["IN"],"remoteScope":"country-specific","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#174d81","vibrant":"#2781d7","darkMuted":"#344c5c","lightMuted":"#174d81","darkVibrant":"#0b243c","lightVibrant":"#8ebdea"},"viewCount":9,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":3,"impressionCount":214,"slug":"highlevel-lead-engineer-ai-studio-4W383J","isFresh":true,"featured":false},{"title":"AI Engineer | Agentic Systems","companyName":"Machinify","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://machinify.com&size=128","companyWebsite":"https://www.machinify.com","description":"<p>Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country. Deployed by over 85 health plans, including many of the top 20, and representing more than 270 million lives, Machinify brings together a fully configurable and content-rich, AI-powered platform along with best-in-class expertise. We’re constantly reimagining what’s possible in our industry, creating disruptively simple, powerfully clear ways to maximize financial outcomes and drive down healthcare costs. Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country. Deployed by over 85 health plans — including many of the top 20 and representing more than 270 million lives — Machinify brings together a fully configurable, content-rich, AI-powered platform along with best-in-class expertise. We're constantly reimagining what's possible in our industry, creating disruptively simple, powerfully clear ways to maximize financial outcomes and drive down healthcare costs.<br/>The Role<br/>We're building production-grade agentic systems that audit medical claims end-to-end — reading raw medical records, reasoning over coding and clinical guidelines, and producing defensible findings that hold up to clinical and regulatory review. Reaching human-expert accuracy on noisy, long-context documents is one of the hardest unsolved problems in applied AI, and the field is moving weekly.<br/>We're hiring an L4 AI Engineer who can step into an ambiguous problem, design an agent system from scratch, and ship it. You won't be plugging into someone else's architecture — you'll be deciding what the architecture should be.<br/>What You'll Do</p>\n<ul><li>Design agent systems from first principles. Decide the loop, the tools, the context strategy, the evaluation harness. Choose between single-agent and multi-agent topologies, between LLM reasoning and deterministic post-passes, between retrieval and direct context loading — and defend the choice with data. - Engineer the context. The hardest part of building a good agent is what goes into the prompt and what comes out. You'll obsess over context windows, tool surfaces, structured outputs, citation grounding, and the prompt itself. - Drive evaluation rigor. Build evals before you build the agent. Diagnose where it fails, fix the root cause, and prove the fix moved the metric. - Use AI tooling like a power user. A meaningful fraction of your day will be spent driving Claude Code, Codex, and similar tools to plan, scaffold, refactor, and debug your own work. We expect you to be faster with these tools than most engineers are without them. - Become a domain expert. Healthcare claims, coding guidelines, and the medical record itself are unavoidable parts of the job. Strong engineers who lean into the domain become outsized contributors here.</li></ul>\n<p>What We're Looking For<br/>Required</p>\n<ul><li>2–4 years of applied ML / AI engineering experience with a Bachelor's in CS, Math, Engineering or equivalent — or a Master's in a similar program with no prior industry experience required. Either way, at least one production-quality system (industry, research, or substantial open-source) you owned end-to-end. - Strong Python engineering. Clean abstractions, type discipline, async, tested code. - Deep, hands-on understanding of agent loops — how a model decides to call a tool, how a tool result re-enters context, how loops terminate, where they fail. - Hands-on experience with at least one major agent SDK — OpenAI Agents SDK, Anthropic SDK / claude-agent-sdk, LangGraph, or equivalent — and an opinion on the tradeoffs. - Working knowledge of how modern coding agents are built and how they engineer context — what goes in the system prompt, how files are read and edited, how long-running tasks are planned and tracked, where they break. - Fluency with Claude Code / Codex as a power user. You should be able to brainstorm, plan, and execute non-trivial engineering tasks with these tools — including reading their source when needed to understand or extend behavior. - Solid command of VS Code and git — branches, rebases, worktrees, conflict resolution, PR workflows. Not optional. - A bias toward measurement: you don't ship without an eval, and you don't believe a number you can't reproduce.</li></ul>\n<p>Strongly preferred</p>\n<ul><li>Experience designing structured outputs (Pydantic / JSON Schema) and tool interfaces that LLMs reliably call correctly. - Familiarity with reasoning models (o-series, Claude extended thinking, Gemini thinking) and a sense of when they earn their cost. - Prior work on long-context, citation-grounded systems where the model must point to evidence, not just answer. - Healthcare, legal, finance, or any other domain where \"mostly right\" is unacceptable.</li></ul>\n<p>Nice to have</p>\n<ul><li>Document understanding (OCR, layout-aware models, table extraction). - Vision-language models, multimodal retrieval. - Production experience with caching, observability, and cost control on LLM workloads.</li></ul>\n<p>What We Offer &amp;nbsp;</p>\n<p>Work&amp;nbsp;from anywhere in the US!&amp;nbsp;Machinify&amp;nbsp;is digital-first.<br/>Top Medical/Dental/Vision offerings<br/>FSA/HSA<br/>Tuition reimbursement<br/>Competitive salary, 401(k) with company match<br/>Unlimited PTO<br/>Additional health and wellness benefits and perks<br/>Flexible and trusting environment where you’ll feel empowered to do your best work &amp;nbsp;</p>\n<p>The salary for this position is based on an array of factors unique to each candidate: Such as years and depth of experience, set skills, certifications, etc. We are hiring for different levels and the base salary can range from $130k-$200k+ based on your assessed level. Compensation also includes meaningful equity, healthcare, unlimited PTO, and more. Equal Employment Opportunity at Machinify<br/>&amp;nbsp;<br/>We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace. Machinify is an employment at will employer. We participate in E-Verify as required by applicable law. In accordance with applicable state laws, we do not inquire about salary history during the recruitment process. If you require a reasonable accommodation to complete any part of the application or recruitment process, please let our recruiters know. See our Candidate Privacy Notice at:&amp;nbsp; https://www.machinify.com/candidate-privacy-notice/</p>","location":"Remote - US","city":null,"locationType":"remote","employmentType":"full-time","seniority":"mid","salaryMin":130000,"salaryMax":200000,"salaryCurrency":"USD","applyMethods":[{"type":"url","value":"https://job-boards.greenhouse.io/machinifyinc/jobs/4146862009"}],"postedAt":"2026-07-07T07:23:52.152Z","expiresAt":"2026-08-06T00:00:00.000Z","aiInfrastructure":["MCP"],"techStackTags":["Pydantic","Python","agents","evals"],"agenticFrameworks":["Agno","Claude Agent SDK","LangGraph","OpenAI Agents SDK"],"geoRegion":"us","countries":["US"],"remoteScope":"country-specific","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#7c7c7c","vibrant":"#7f7f7f","darkMuted":"#3c3c3c","lightMuted":"#bcbcbc","darkVibrant":"#424242","lightVibrant":"#bcbcbc"},"viewCount":63,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":23,"impressionCount":483,"slug":"machinify-ai-engineer-or-agentic-systems--RrYPF","isFresh":true,"featured":false},{"title":"Senior Backend Engineer","companyName":"Parloa","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://parloa.com&size=128","companyWebsite":"https://www.parloa.com","description":"<p>Parloa builds agentic AI for enterprise customer experience, powering over one billion interactions between global enterprise brands (Booking.com, Allianz, SAP and others) and their customers. As a Senior Backend Engineer, you will work on a marketplace of tools and integrations which Parloa's agents leverage via MCP (Model Context Protocol), providing secure, managed access to business systems while controlling security and risk.</p>\n<h4>Responsibilities:</h4>\n<ul><li>Design, build and maintain secure and scalable backend services.</li><li>Optimize system performance for low latency, high throughput and reliability.</li><li>Collaborate across teams to integrate machine learning components into production systems.</li><li>Lead technical initiatives (3-9 month horizon) from design through implementation and maintenance.</li><li>Drive operational excellence and contribute to architecture and engineering culture.</li></ul>\n<h4>Requirements:</h4>\n<ul><li>7+ years as a software engineer.</li><li>TypeScript and Node.js (ideally NestJS), or comparable framework experience.</li><li>Experience building highly scalable microservices.</li><li>Deep understanding of distributed systems, event-driven architectures and APIs.</li><li>Cloud-native infrastructure (Kubernetes, GCP/AWS).</li><li>Fluent English; openness to AI-assisted coding tools.</li></ul>\n<p>Tech stack: TypeScript, Node.js, React, Python, FastAPI, Kubernetes, MongoDB, Azure, Kafka, NATS.</p>\n<p>Hybrid role based in Berlin (hubs also in Munich and New York).</p>","location":"Berlin, Germany","city":"Berlin","locationType":"hybrid","employmentType":"full-time","seniority":"senior","salaryMin":null,"salaryMax":null,"salaryCurrency":null,"applyMethods":[{"type":"url","value":"https://job-boards.eu.greenhouse.io/parloa/jobs/4802720101"}],"postedAt":"2026-07-07T07:23:52.152Z","expiresAt":"2026-08-06T00:00:00.000Z","aiInfrastructure":["MCP"],"techStackTags":["AWS","FastAPI","GCP","Kafka","Kubernetes","MongoDB","NestJS","Node.js","Python","TypeScript"],"agenticFrameworks":[],"geoRegion":"eu","countries":["DE"],"remoteScope":"hybrid","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#888484","vibrant":"#877777","darkMuted":"#4c4c44","lightMuted":"#c4bcbc","darkVibrant":"#463e3e","lightVibrant":"#c0b8b8"},"viewCount":9,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":0,"impressionCount":229,"slug":"parloa-senior-backend-engineer-PpFF9C","isFresh":true,"featured":false},{"title":"Senior AI Engineer","companyName":"Nelly","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://nelly-solutions.com&size=128","companyWebsite":"https://www.nelly-solutions.com","description":"<p>We celebrate diversity and encourage individuals of all genders (m/f/d) to apply.</p>\n<p>We’re on the lookout for an ambitious AI-Engineer to join our Engineering team at our office in Berlin. Join us in building the largest AI enabled fintech for healthcare!</p>\n<h4>What to expect in the role as Senior AI Engineer:</h4>\n<p>As part of our freshly launched AI division at Nelly, where you'll be one of the pioneers shaping our future in AI. In a small, agile team, you'll work on developing cutting-edge AI systems and robust data pipelines—from rapid prototypes to scalable production solutions. This role is ideal for someone who combines deep ML theory with practical cloud and data engineering know-how, and who can drive innovative GenAI initiatives while keeping a pragmatic product focus.</p>\n<p>About Nelly</p>\n<p>We are building the AI-Driven Financial Operating System for European healthcare, solving the biggest challenges for patients and practices. We create what no bank or software platform can handle. Our all-in-one platform transforms chaotic administrative processes into intelligent, automated workflows, from patient care to billing to next-generation payments. Because we truly believe: healthcare should be less about paperwork and more about people.</p>\n<p>Why? Because Europe is facing a massive shortage of medical professionals. And if we don't rethink the way practices work, the system won't be able to keep up. With our Series B funding of over €50 million from world-class investors, we are turning our vision into reality.</p>\n<p>What to expect: We work with the best team, which is why we give everything together every day. We believe in Talent Density, because exceptional people make everyone around them better. At Nelly, we move fast and expect everyone to keep up. Stagnation isn’t an option, which is why we invest heavily in growth. AI isn't a nice-to-have at Nelly. We expect you to use it every day and give you everything you need to do so. You get trust and ownership and we expect you to speak up, even when it's uncomfortable.</p>\n<p>What you'll bring</p>\n<ul><li>Technical leadership mindset with high agency and proactive drive—obsessed with building world-class systems and enabling teams to ship exceptional user experiences.</li><li>8+ years building and operating backend systems in production (strong Python skills required - ideal as well: TypeScript for integration work), with 3+ years shipping LLM/GenAI features to users (RAG, tool use, planning, agent frameworks e.g MCP, multi-agent systems).</li><li>Strong ML fundamentals with hands-on experience in model evaluation, self-evolving agents (e.g Memory).</li><li>Deep expertise in distributed systems design: API architecture, data modeling, high-throughput async systems, event-driven architectures, caching strategies, and performance optimization.</li><li>Advanced retrieval engineering experience: embeddings, sophisticated chunking strategies, hybrid search algorithms, schema/metadata design, knowledge graphs, comprehensive eval frameworks, and production monitoring.</li><li>Proven track record of technical leadership: driving architecture decisions, mentoring engineers, and establishing engineering best practices.</li><li>Experience with cloud native development at scale, ideally AWS, but GCP is a strong plus, too.</li><li>Excellent communication skills in English with ability to articulate complex technical concepts to diverse audiences.</li></ul>\n<h4>Bonus skills:</h4>\n<ul><li>Experience with modern data workflow orchestration frameworks such as Dagster, Airflow, or Prefect, with emphasis on building robust, dependency-aware pipelines at scale.</li><li>Track record of technical writing, open-source contributions, or speaking at industry events.</li><li>Fluent German is a big plus, to improve the interaction between you and our user base.</li></ul>\n<h4>Our tech stack :</h4>\n<ul><li>TypeScript, Node.js, React, Python, FastAPI, Kubernetes, MongoDB, Azure, Kafka, NATS.</li></ul>\n<p>What we offer</p>\n<ul><li>BVG ticket or Swapfiets membership, so you get around the city fast</li><li>Urban Sports Club membership, for sport and balance</li><li>Flexible working hours and a hybrid setup</li><li>Up to 4 weeks of workation</li><li>A dog-friendly office with great vibes and a team that's fun to work with</li><li>Snacks and a fridge full of cold drinks</li></ul>\n<p>We celebrate diversity and welcome individuals of all genders (m/f/d) to apply — and because we know confidence gaps and impostor syndrome can get in the way, please don’t hesitate even if you don’t meet every single criterion; if you’re exceptional, tell us why, and we’d genuinely love to hear from you.</p>","location":"Berlin, Germany","city":"Berlin","locationType":"hybrid","employmentType":"full-time","seniority":"senior","salaryMin":null,"salaryMax":null,"salaryCurrency":null,"applyMethods":[{"type":"url","value":"https://jobs.ashbyhq.com/nelly/a1d054b8-6ece-4240-ad54-d4db2d0fc427"}],"postedAt":"2026-07-07T07:23:52.152Z","expiresAt":"2026-08-06T00:00:00.000Z","aiInfrastructure":["MCP"],"techStackTags":["AWS","Azure","FastAPI","GCP","Kafka","Kubernetes","MongoDB","Node.js","Python","React","TypeScript"],"agenticFrameworks":[],"geoRegion":"eu","countries":["DE"],"remoteScope":"hybrid","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#7c9474","vibrant":"#91b24c","darkMuted":"#2c4028","lightMuted":"#b6ccac","darkVibrant":"#4b5c27","lightVibrant":"#e4ecd3"},"viewCount":14,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":4,"impressionCount":258,"slug":"nelly-senior-ai-engineer-epBmNE","isFresh":true,"featured":false},{"title":"Senior/Staff Software Engineer - AI / Agentic apps","companyName":"Grafana Labs","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://grafana.com&size=128","companyWebsite":"https://grafana.com","description":"<p>Grafana Labs | Senior/Staff Software Engineer - AI / Agentic apps | 100% Remote (US + Canada)</p>\n<h4>I'm the hiring manager. Some of the product highlights under the team's scope:</h4>\n<ul><li>Grafana Assistant: the actually useful AI assistant that helps you do everything in Grafana; it works everywhere, even in OSS.</li><li>Investigations: background agents for investigating issues.</li><li>Grafana Cloud CLI (GCX): CLI covering the entire surface of Grafana Cloud/OSS APIs; plays great with Claude Code/Codex/Cursor and the Assistant.</li><li>AI Observability: helps you build useful agents and then lets you monitor, eval and improve how they behave.</li><li>O11y Bench: compare agents' performance across a range of observability/SRE tasks.</li></ul>\n<p>Our pace of development and innovation is RAPID: the AI Observability product went from being the winning hackathon project to public preview in 6 weeks. We are at the cutting edge here, experimenting with autonomous (but safe) SREs, an agentic platform, improving agentic dev experience with o11y insights, fine-tuned LLMs for specific tasks, and more.</p>\n<p>We are looking for highly ambitious engineers who have a great sense of ownership, are all-in on agentic development, and have previously built and operated systems at scale. We are all full-stack and love initiative. We would love to talk with you especially if you built something out in the open.</p>\n<p>Responsibilities: build high-performance AI solutions for incident detection, triage, and resolution; rapidly prototype and iterate on LLM- and agent-powered workflows for incident lifecycle management; collaborate cross-functionally on AI-driven product features; own scalable, maintainable AI solutions. You'll have access to frontier models including GPT-4, Claude Opus, and Gemini Pro, with pragmatic AI-assisted development.</p>\n<p>Bonus: experience building or working with agent frameworks or multi-agent workflows; Kubernetes, Docker, Terraform; model fine-tuning techniques.</p>\n<p>Canada JD: https://job-boards.greenhouse.io/grafanalabs/jobs/6100673004<br/>US JD: https://job-boards.greenhouse.io/grafanalabs/jobs/6100672004</p>\n<p>Canada base compensation: CAD 186,368 - CAD 230,000. Canada time zones only for the Canada posting.</p>","location":"Remote (US + Canada)","city":null,"locationType":"remote","employmentType":"full-time","seniority":"senior","salaryMin":186368,"salaryMax":230000,"salaryCurrency":"CAD","applyMethods":[{"type":"url","value":"https://job-boards.greenhouse.io/grafanalabs/jobs/6100673004"},{"type":"url","value":"https://job-boards.greenhouse.io/grafanalabs/jobs/6100672004"}],"postedAt":"2026-07-07T07:23:52.152Z","expiresAt":"2026-08-06T00:00:00.000Z","aiInfrastructure":["Anthropic","Gemini","OpenAI API"],"techStackTags":["AWS","Azure","Docker","GCP","Kubernetes","LLMs","Terraform"],"agenticFrameworks":[],"geoRegion":"us","countries":["CA","US"],"remoteScope":"country-specific","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#913e07","vibrant":"#f47c2c","darkMuted":"#913e07","lightMuted":"#915f07","darkVibrant":"#7e3606","lightVibrant":"#f4ac2c"},"viewCount":8,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":3,"impressionCount":245,"slug":"grafana-labs-seniorstaff-software-engineer-ai-agentic-apps-2wtA8S","isFresh":true,"featured":false},{"title":"Machine Learning Engineer","companyName":"Dashlane","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://dashlane.com&size=128","companyWebsite":"https://www.dashlane.com","description":"<p>Dashlane's ACE team is looking for a Machine Learning Engineer to pioneer web-understanding technology using large labelled and unlabelled datasets of web pages, applied to autofill enhancement, credential risk detection, and phishing prevention within privacy-preserving frameworks.</p>\n<h4>What you'll do:</h4>\n<ul><li>Conduct R&amp;D on web page comprehension and its applications to credential protection systems.</li><li>Collect data, train models, make hypotheses, experiment and analyse results.</li><li>Deploy, evaluate, and continuously improve AI-powered features and agentic systems in production, including LLM-based applications, retrieval augmented generation (RAG), tool-using agents, and workflow automation.</li><li>Maintain and improve data pipelines for collection, training, and web-extension integration.</li><li>Collaborate across ML engineers, software engineers, product managers, and designers, and integrate modern GenAI tooling into your workflow.</li></ul>\n<h4>Requirements:</h4>\n<ul><li>Master's or Engineer degree in ML/AI or Computer Science.</li><li>4+ years professional experience in product-led companies, including 2+ years in R&amp;D.</li><li>Expertise in Python, ML frameworks (Scikit-learn, XGBoost) and deep learning frameworks.</li><li>Scientific mindset and technical rigour; fluent English and comfortable with AI-assisted engineering.</li></ul>\n<p>Nice to have: JavaScript/web technology knowledge; experience with foundation models, RAG, or AI agents in production; ML cloud platform experience (Azure, AWS, GCP); interest in data privacy and security.</p>\n<p>Stack: NodeJS/TypeScript (backend), React/TypeScript (frontend), Python/Scikit-learn/Optuna/ONNX (ML), DVC/MLflow (MLOps), GitLab/Sonarqube/Terraform (CI/CD). Hybrid, 3 days/week in the Paris office.</p>","location":"Paris, France","city":"Paris","locationType":"hybrid","employmentType":"full-time","seniority":"senior","salaryMin":null,"salaryMax":null,"salaryCurrency":null,"applyMethods":[{"type":"url","value":"https://job-boards.greenhouse.io/dashlane/jobs/8023887"}],"postedAt":"2026-07-07T07:23:52.152Z","expiresAt":"2026-08-06T00:00:00.000Z","aiInfrastructure":["MLflow","scikit-learn"],"techStackTags":["Node.js","ONNX","Python","React","Terraform","TypeScript"],"agenticFrameworks":[],"geoRegion":"eu","countries":["FR"],"remoteScope":"hybrid","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#8c847c","vibrant":"#bf3f3f","darkMuted":"#4c443c","lightMuted":"#c4bcbc","darkVibrant":"#240c0c","lightVibrant":"#dd9b9b"},"viewCount":4,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":0,"impressionCount":179,"slug":"dashlane-machine-learning-engineer-DB3Uyj","isFresh":true,"featured":false},{"title":"Fullstack Product Engineer (Learn & Agents)","companyName":"Sana","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://sanalabs.com&size=128","companyWebsite":"https://sanalabs.com","description":"<p>ABOUT SANA</p>\n<p>Sana is an AI lab building superintelligence for work. We believe organizations can accomplish their missions faster when teams can effortlessly access knowledge, automate repetitive work, and learn anything with the help of agentic AI. As part of Workday, we are committed to building AI that augments people - not replaces them.</p>\n<p>We bring this mission to life through two products. Sana Agents provide a seamless way to access all your company’s apps, knowledge, and data, enabling AI agents to do real work so teams can process and act on information at unprecedented scale. Sana Learn is an AI-powered learning hub that combines the simplicity of a modern learning platform with intelligent features like an AI tutor, automated content generation, and interactive apps, making knowledge not just accessible but actionable.</p>\n<p>We’re a talent-dense, product-obsessed team of engineers and designers from companies like Google, Spotify, Apple, and Databricks, united by deep technical excellence and rapid iteration. Our tools already help over a million people learn and work better across hundreds of leading enterprises - and we’re just getting started.</p>\n<p>ABOUT THE ROLE</p>\n<p>Ship customer-facing value quickly in small teams - owning everything from problem definition through UX, API, and instrumentation. You’ll work end-to-end to deliver features that delight users and move the needle for Sana and our customers.</p>\n<p>IN THIS ROLE, YOU WILL</p>\n<ul><li>Own features from design to deploy - frontend (React/TypeScript), backend (Node/TypeScript) and database (Postgres)</li><li>Integrate with agent and retrieval APIs to deliver seamless product experiences</li><li>Instrument products, run A/B tests, and iterate quickly with design and PM</li><li>Make pragmatic trade-offs and thrive in ambiguous 0→1 product spaces</li><li>Collaborate closely with stakeholders, users and teammates to define and solve the right problems</li></ul>\n<p>WHAT SUCCESS LOOKS LIKE</p>\n<ul><li>Features ship fast, delight users, and drive measurable impact</li><li>End-to-end ownership is the norm - problems are solved, not handed off</li><li>Product instrumentation and A/B tests inform every iteration</li><li>You are a force multiplier for your squad, making everyone around you better</li><li>Ambiguity is an opportunity, not a blocker</li></ul>\n<p>OUR TECH STACK</p>\n<p>We build on a simple modern stack optimized for both humans and AI.</p>\n<ul><li>Backend: TypeScript, Kotlin, Node.js</li><li>Frontend: TypeScript, React, Tailwind</li><li>Databases: Postgres, Redis</li><li>Cloud infra: GCP/Kubernetes/Terraform</li></ul>\n<p>WHAT WE OFFER</p>\n<ul><li>Help shape AI's future alongside brilliant minds from Google, Apple, Spotify, Notion, Slack, Databricks, and BCG.</li><li>Competitive salary complemented with a competitive RSU program.</li><li>Swift professional growth in an evolving environment, supported by a culture of continuous feedback and mentorship from senior leaders.</li><li>Work with talented teammates across 5+ countries, and global customers, from our beautiful office in Stockholm.</li></ul>","location":"Stockholm, Sweden","city":"Stockholm","locationType":"onsite","employmentType":"full-time","seniority":"mid","salaryMin":null,"salaryMax":null,"salaryCurrency":null,"applyMethods":[{"type":"url","value":"https://jobs.ashbyhq.com/sana-roles/7a9b7a07-f510-42b7-8f9d-a5d4104a8b9f"}],"postedAt":"2026-07-07T07:23:52.152Z","expiresAt":"2026-08-06T00:00:00.000Z","aiInfrastructure":[],"techStackTags":["GCP","Kubernetes","Node.js","PostgreSQL","React","Redis","TypeScript"],"agenticFrameworks":[],"geoRegion":"eu","countries":["SE"],"remoteScope":"country-specific","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#646464","vibrant":"#7f7f7f","darkMuted":"#343434","lightMuted":"#f4f4f4","darkVibrant":"#424242","lightVibrant":"#bcbcbc"},"viewCount":3,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":0,"impressionCount":177,"slug":"sana-fullstack-product-engineer-learn-and-agents-497Ryx","isFresh":true,"featured":false},{"title":"Engineering Manager, Agent Runtime Platform","companyName":"Anthropic","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://anthropic.com&size=128","companyWebsite":"https://www.anthropic.com","description":"<div class=\"content-intro\"><h2><strong>About Anthropic</strong></h2>\n<p>Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p></div><h2>About the Role</h2>\n<p>The Agent Runtime Platform provisions and runs the compute and runtimes behind Anthropic's internal agents: secure, credential-managed environments where agents do real engineering and knowledge work at scale. As an Engineering Manager on these teams, you will be responsible for ensuring you and your team are identifying and removing friction and blockers to productivity, experimenting at the frontier, and building security and quality into agents. You also will help bring clarity, focus, and context to your teams in a fast-paced, dynamic environment.</p>\n<h2>Responsibilities</h2>\n<ul>\n<li>Own the technical strategy and roadmap, translating goals into concrete execution</li>\n<li>Manage day-to-day execution of the team's work</li>\n<li>Prioritize the team’s work and manage projects in a highly dynamic, fast-paced environment</li>\n<li>Stay hands-on: build and ship the runtime platform and tooling</li>\n<li>Define what secure agent execution means at scale, partnering with security teams on sandboxing, isolation, and credential management</li>\n<li>Build primitives that are composable and reusable across various agents</li>\n<li>Own infrastructure scalability and reliability: capacity planning across cloud providers, right-sizing, and operational excellence</li>\n<li>Collaborate cross-team, supporting internal teams bringing up their agents</li>\n</ul>\n<h2>You May Be a Good Fit If You:</h2>\n<ul>\n<li>Have 10+ years building and operating large-scale platforms or distributed systems</li>\n<li>Have 1+ years of management experience in a technical environment, particularly in building platforms or agents at scale</li>\n<li>Are deeply interested in the potential transformative effects of advanced AI systems and agents, and are committed to ensuring their safe deployment</li>\n<li>Have experience with container or VM orchestration at scale</li>\n<li>Are obsessed with productivity and transforming how we work</li>\n<li>Have excellent communication skills and enjoy supporting internal partners</li>\n</ul>\n<h2>Strong Candidates May Also Have:</h2>\n<ul>\n<li>Engineering management experience on top of a strong IC track record</li>\n<li>Experience with harness engineering</li>\n<li>Experience with building security-sensitive infrastructure: sandboxing, workload isolation, credential management, or access control</li>\n<li>Experience with capacity planning and utilization across multiple cloud providers</li>\n<li>Experience working with researchers, engineers and other functional roles</li>\n</ul>\n<p>&nbsp;</p>\n<p>Deadline to apply: None. Applications will be reviewed on a rolling basis.</p><div class=\"content-pay-transparency\"><div class=\"pay-input\"><div class=\"description\"><p>The annual compensation range for this role is listed below.&nbsp;</p>\n<p>For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</p></div><div class=\"title\">Annual Salary:</div><div class=\"pay-range\"><span>$405,000</span><span class=\"divider\">&mdash;</span><span>$485,000 USD</span></div></div></div><div class=\"content-conclusion\"><h2><strong>Logistics</strong></h2>\n<p><strong>Minimum education: </strong>Bachelor’s degree or an equivalent combination of education, training, and/or experience</p>\n<p><strong>Required field of study:&nbsp;</strong>A field relevant to the role as demonstrated through coursework, training, or professional experience</p>\n<p><strong>Minimum years of experience: </strong>Years of experience required will correlate with the internal job level requirements for the position</p>\n<p><strong>Location-based hybrid policy:</strong> Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p>\n<p><strong data-stringify-type=\"bold\">Visa sponsorship:</strong>&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>\n<p><strong>We encourage you to apply even if you do not believe you meet every single qualification.</strong> Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.<br><br><strong data-stringify-type=\"bold\">Your safety matters to us.</strong> To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;<u data-stringify-type=\"underline\"><a class=\"c-link c-link--underline\" href=\"http://anthropic.com/careers\" target=\"_blank\" data-stringify-link=\"http://anthropic.com/careers\" data-sk=\"tooltip_parent\" data-remove-tab-index=\"true\">anthropic.com/careers</a></u>&nbsp;directly for confirmed position openings.</p>\n<h2><strong>How we're different</strong></h2>\n<p>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.</p>\n<p>The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.</p>\n<h2><strong>Come work with us!</strong></h2>\n<p>Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. <strong data-stringify-type=\"bold\">Guidance on Candidates' AI Usage:</strong>&nbsp;Learn about&nbsp;<a class=\"c-link\" href=\"https://www.anthropic.com/candidate-ai-guidance\" target=\"_blank\" data-stringify-link=\"https://www.anthropic.com/candidate-ai-guidance\" data-sk=\"tooltip_parent\">our policy</a> for using AI in our application process.</p></div>","location":"San Francisco, CA / Seattle, WA","city":"San Francisco","locationType":"onsite","employmentType":"full-time","seniority":"lead","salaryMin":405000,"salaryMax":485000,"salaryCurrency":"USD","applyMethods":[{"type":"url","value":"https://job-boards.greenhouse.io/anthropic/jobs/5290837008"}],"postedAt":"2026-07-07T07:23:52.152Z","expiresAt":"2026-08-06T00:00:00.000Z","aiInfrastructure":[],"techStackTags":["Python"],"agenticFrameworks":[],"geoRegion":"us","countries":["US"],"remoteScope":"onsite","visaSponsorship":true,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#84847c","vibrant":"#c8b636","darkMuted":"#444444","lightMuted":"#ccccc4","darkVibrant":"#685e1c","lightVibrant":"#fcfbf4"},"viewCount":8,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":0,"impressionCount":201,"slug":"anthropic-engineering-manager-agent-runtime-platform-RbMrec","isFresh":true,"featured":false},{"title":"Staff AI Machine Learning Engineer","companyName":"Medeloop","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://medeloop.ai&size=128","companyWebsite":"https://www.medeloop.ai","description":"<p>The Role<br/>We are seeking a Staff Machine Learning Engineer with deep expertise in agentic AI — and a true passion for experimentation and creation — to design, build, test, evaluate, and productionize next-generation autonomous AI agents for healthcare and clinical research. If you love rapidly prototyping wild ideas, running build-test-learn cycles, iterating on novel agent behaviors, and turning unsolved challenges into working systems, this is the role for you. You will own end-to-end agentic workflows that reason, plan, use tools, orchestrate multi-agent collaboration, and deliver safe, reliable outcomes in highly regulated environments, while collaborating with multidisciplinary teams to influence Medeloop’s technological direction. You will also be nested within a team of advisors and collaborators with deep medical and health expertise, including scientists, clinicians, and AI experts, including the former FDA commissioner, former editor of JAMA, and developer of BloombergGPT. The result: You will be an active participant in fostering a data lead public health and healthcare ecosystem.&amp;nbsp;<br/>What You'll Own</p>\n<p>Lead the design and architecture of advanced agentic AI systems, including reasoning loops (ReAct, CoT, ToT), tool-calling, dynamic multi-agent orchestration, RAG pipelines, memory/state management, and emerging protocols like Model Context Protocol (MCP) and Agent-to-Agent (A2A).<br/>Build and own production-grade agent infrastructure, including prompts, function tools, workflow graphs, MCP/A2A integrations, and adaptive agent lifecycle management (spinning up, specializing, delegating, and decommissioning agents dynamically for complex healthcare workflows).<br/>Develop rigorous evaluation and safety frameworks — automated testing, benchmarking, regression testing, adversarial testing, safety guardrails, observability (tracing, logging, metrics), and human-in-the-loop mechanisms to ensure reliable, compliant performance in production.<br/>Drive LLM and ML model development — train, fine-tune, and deploy large-scale models on healthcare datasets, working closely with researchers and clinicians to solve real clinical challenges.<br/>Shape Medeloop’s agentic AI strategy and roadmap in close partnership with the C-suite and cross-functional leadership.<br/>Stay at the cutting edge of agentic AI (multi-modal agents, advanced reasoning models, interoperability protocols) and help establish Medeloop as a leader in transparent, compliant healthcare AI.</p>\n<p>What We're Looking For</p>\n<p>7+ years of hands-on experience as a Machine Learning Engineer, with a proven track record building and shipping production agentic AI systems (single- or multi-agent) in industry, ideally in healthcare, life sciences, or other related domains.<br/>Experience working on analytic engines (or advanced analytics platforms) — designing, optimizing, or integrating systems that power data-driven insights, queries, or decision-making at scale.<br/>Strong theoretical foundation in ML/AI, with emphasis on NLP/LLMs, reinforcement learning, planning/reasoning algorithms.<br/>Deep expertise with agentic frameworks and tools: LangChain/LangGraph, Model Context Protocol (MCP), Agent-to-Agent (A2A) protocols, Hugging Face, PyTorch, vector databases/semantic search, prompt engineering, and observability platforms (e.g., LangSmith, Phoenix).<br/>Experience designing fully automated evaluation and testing pipelines for autonomous agents and their orchestration, including metrics for reliability, safety, factuality, cost/latency, clinical utility, and dynamic behaviors.<br/>A builder/experimenter mindset — you thrive on rapid prototyping, testing bold new ideas, iterating quickly on agent designs, and exploring uncharted territory in agentic systems.<br/>Passion for unsolved challenges in healthcare AI, with the ability to thrive in a fast-paced, multidisciplinary environment and wear multiple hats.</p>\n<p>Bonus Points</p>\n<p>Strong record in top AI/ML conferences/journals; experience with healthcare data (EHRs, claims) and regulatory considerations (HIPAA, transparency, reproducibility).<br/>Multi-cloud experience (AWS, Azure, GCP)</p>\n<p>Why Medeloop</p>\n<p>Ownership from day one: small team, high-trust, no layers between your work and its impact<br/>Technically ambitious: you'll build AI-powered workflows, not just support them<br/>Real-world stakes: your work accelerates drug development, addresses health equity, and improves clinical research for institutions that matter<br/>Strong foundation: Series A, top-tier investors, and a data asset (200M+ patient records) that most companies spend years trying to build</p>\n<p>&amp;nbsp;</p>","location":"San Francisco, California, United States","city":"San Francisco","locationType":"onsite","employmentType":"full-time","seniority":"staff","salaryMin":null,"salaryMax":null,"salaryCurrency":"USD","applyMethods":[{"type":"url","value":"https://job-boards.greenhouse.io/medeloop/jobs/4236722009"}],"postedAt":"2026-07-07T07:23:52.152Z","expiresAt":"2026-08-06T00:00:00.000Z","aiInfrastructure":["Arize Phoenix","Hugging Face","LangSmith","MCP","PyTorch"],"techStackTags":["Python","RAG","agents","vector database"],"agenticFrameworks":["LangChain","LangGraph"],"geoRegion":"us","countries":["US"],"remoteScope":"onsite","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#022d96","vibrant":"#3c74fc","darkMuted":"#022d96","lightMuted":"#073b91","darkVibrant":"#022782","lightVibrant":"#4487f5"},"viewCount":11,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":6,"impressionCount":433,"slug":"medeloop-staff-ai-machine-learning-engineer-BmUEiu","isFresh":true,"featured":false},{"title":"Software Engineer","companyName":"NODA AI","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://nodaintelligence.ai&size=128","companyWebsite":"https://www.nodaintelligence.ai","description":"<p>NODA AI | Engineering | Multiple Locations | ONSITE / HYBRID | Full-time | US Citizens https://www.nodaintelligence.ai/careers NODA AI is the defense software company that built and fielded the original vendor-agnostic autonomy orchestrator. Founded in 2024 and headquartered in Austin, Texas, NODA builds the software layer that enables heterogeneous uncrewed systems to coordinate, adapt, and execute complex missions using human intent across contested multi-domain environments. NODA’s orchestration software is operationally deployed, hardware- and software-agnostic, and purpose-built for the complexity of modern autonomous warfare. The demand for NODA's capabilities are growing rapidly. We're looking for engineers motivated by the opportunity to see their work applied in the real world. Our team's work goes from concept to field test in days, not months. With numerous positions currently open, you will gain access to solving real world challenges with unlimited capabilities, such as autonomous behaviors and path planning, agentic AI/LLM orchestration, distributed systems, interoperable UI and simulations, CJADC2, and edge deployment across mixed fleets. U.S. Citizenship required due to ITAR regulations &amp; the ability to obtain and maintain a Department of Defense (DoD) security clearance. Open engineering roles are all Austin-based unless otherwise noted. We welcome candidates who are local or open to relocating; relocation assistance is available and may be included in the offer package where appropriate. - Senior Full Stack Engineer - Autonomy Engineer (AI) - AI/ML Engineer - Senior Platform Engineer - UI Engineer - Senior Integration Engineer - Senior Quality Software Engineer - Developer Experience Engineer - Senior Solution Engineer / Solution Architect - Senior Engineering Manager, Solutions Engineering - Forward-Deployed Solution Engineer, International — ONSITE (Bahrain, Kuwait, Qatar, or UAE) Contact: careers@nodaintelligence.ai</p>","location":"Austin, TX (onsite/hybrid, US Citizens)","city":"Austin","locationType":"hybrid","employmentType":"full-time","seniority":"senior","salaryMin":null,"salaryMax":null,"salaryCurrency":null,"applyMethods":[{"type":"url","value":"https://jobs.ashbyhq.com/noda-ai"}],"postedAt":"2026-07-07T07:23:52.152Z","expiresAt":"2026-08-06T00:00:00.000Z","aiInfrastructure":[],"techStackTags":[],"agenticFrameworks":["Agno"],"geoRegion":"us","countries":["US"],"remoteScope":"onsite","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#848484","vibrant":"#7f7f7f","darkMuted":"#444444","lightMuted":"#c4c4c4","darkVibrant":"#424242","lightVibrant":"#bcbcbc"},"viewCount":5,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":1,"impressionCount":192,"slug":"noda-ai-software-engineer-Tc5y4O","isFresh":true,"featured":false},{"title":"Platform Engineer","companyName":"Langdock","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://langdock.com&size=128","companyWebsite":"https://www.langdock.com","description":"<p>HELP US CHANGE THE WAY THE WORLD WORKS</p>\n<p>BUILD SOMETHING THAT MATTERS.</p>\n<p>Langdock exists to change the way the world works, bridging the gap between what technology can do and what people actually do with it. We bring all leading AI models into one secure, model-agnostic platform and make them usable across entire organizations. Over 6,000 companies use our platform every day, from fast-growing startups to some of Europe's largest enterprises. Their employees open Langdock to draft strategies, analyze documents, or automate workflows - helping them to work smarter, think more creatively, and reach their full potential.</p>\n<p>THE ROLE</p>\n<p>Platform Engineers at Langdock work on shared backend systems that many product features depend on. This includes the AI engine, queues, document processing, integrations, code execution, authentication, and billing.</p>\n<p>The job is to make these systems reliable and understandable enough that other engineers can build on them. That means designing clear APIs, choosing the right data models, handling failure cases, writing tests for important invariants, adding useful observability, and keeping abstractions simple enough to maintain.</p>\n<p>Typical problems include deciding which parts of a long conversation to keep in context, retrying background jobs without running the same side effect twice, handling model-provider failures during streaming responses, refreshing integration tokens before they expire, and enforcing tenant boundaries in shared services.</p>\n<p>WHAT YOU WILL WORK ON</p>\n<h4>Examples of the kind of systems Platform Engineers own:</h4>\n<ul><li>The AI engine at the core of the platform. It handles the prompts users send through Langdock and abstracts over providers such as OpenAI, Anthropic, Google, Azure, Bedrock, Mistral, and open-source models. The work includes prompt caching, routing, failover across model deployments, and normalizing provider-specific behavior behind a stable internal interface.</li><li>The workflow runtime. Workflows need to execute reliably across agent steps, conditions, loops, structured-output extraction, human-in-the-loop pauses, and actions across hundreds of integrations. The platform work is about making that execution model predictable, observable, and safe to extend.</li><li>Context-window optimization. Long conversations, uploaded files, and tool calls need to stay correct while model costs stay under control. This is one of the most cost-sensitive parts of the platform.</li><li>A code execution service for running untrusted customer code. Today this means JavaScript in some places, but the direction includes broader execution environments such as Bash. The hard part is clear isolation: secrets, filesystem access, outbound network access, and tenant boundaries need to be controlled explicitly.</li><li>A flexible integration layer for connecting Langdock to external services. Most integrations are standard REST APIs, but the platform also needs to support industry standards for tools and agents, including Model Context Protocol (MCP) and agent-to-agent (A2A) communication.</li></ul>\n<p>You will pick up a platform area over time and can shape where it goes next.</p>\n<p>TECH STACK</p>\n<ul><li>TypeScript across a Turborepo monorepo</li><li>Next.js, React, and Tailwind on the front end</li><li>Node.js services and workers on the back end</li><li>PostgreSQL with Prisma; Redis with BullMQ</li><li>A multi-provider model abstraction across OpenAI, Anthropic, Google, Azure, Bedrock, Mistral, and open-source models</li><li>Sandboxed Node.js for code execution</li><li>Multi-cloud storage abstraction over AWS S3, Azure File Share, and GCS</li><li>Terraform for infrastructure orchestration</li><li>Kubernetes for workloads that need portable deployment across cloud providers</li><li>Linear for ticket management</li><li>Datadog and Sentry for observability</li></ul>\n<p>You should be familiar with most of this. We trust you to pick up the rest quickly.</p>\n<p>HOW WE SHIP</p>\n<ul><li>Small temporary squads of 2 to 3 engineers around a topic. Squads form, ship, and dissolve.</li><li>Every change is linked to a Linear ticket and ships via PR. CI runs lint, tests, and AI review.</li><li>We deploy continuously to production.</li><li>We use AI tools heavily in engineering. You have freedom in the tools to use (eg. Cursor, Claude, Codex). We are building a strong harness that allows engineers to move fast while shipping high quality software.</li><li>We are building a strong operating system around AI-assisted shipping: clear ticket context, focused branches, AI review before human review, explicit rollout notes for risky changes, and production verification after release.</li><li>The engineer who ships a change owns it in production. If something breaks, you lead the fix.</li></ul>\n<p>WHAT WE ARE LOOKING FOR</p>\n<ul><li>3 to 6 years of experience building back-end systems that handle real load: queues, caches, databases, streaming pipelines, distributed schedulers. You can talk through failure modes and tradeoffs from systems you have actually run.</li><li>Strong in TypeScript and Node. Opinionated about API design, abstractions, and where boundaries should sit.</li><li>Some infrastructure experience: Terraform, Kubernetes, cloud deployments, networking, or operating services across AWS, Azure, or GCP.</li><li>Very driven. You have high standards for yourself, move fast without needing to be pushed, and want to do the best work of your career.</li><li>Working knowledge of the LLM ecosystem at a technical level: context windows, tool calling, streaming protocols, provider quirks, prompt caching.</li><li>Habit of adding metrics, traces, and structured logs because you have been on call before and know you will need them.</li><li>Security-first mindset. Multi-tenant data isolation is a design constraint, not a postscript.</li><li>Heavy user of AI tooling in your own development workflow, with opinions on what works and what does not. We are looking for people who are already compounding their output with AI.</li></ul>\n<p>WORKING HERE</p>\n<p>We work from one office in Berlin, Greifswalder Str. 212. Engineering is fully in person; we believe the hardest problems get solved faster at a whiteboard than in a Slack thread.</p>\n<p>Most engineers start around 8:30. Lunch and dinner are together when people stay. Running and gym are part of the routine for many of us.</p>\n<p>COMPENSATION</p>\n<p>Top of market, transparent levels, all roles include equity. Levels are tied to scope, not negotiation or years of experience. We narrow down the range early in the process.</p>\n<p>NEXT STEPS</p>\n<p>If this sounds like your kind of work, we would like to meet you.</p>\n<p>We move fast. Most processes complete within two weeks.</p>","location":"Berlin, Germany","city":"Berlin","locationType":"onsite","employmentType":"full-time","seniority":"mid","salaryMin":90000,"salaryMax":140000,"salaryCurrency":"EUR","applyMethods":[{"type":"url","value":"https://jobs.ashbyhq.com/langdock/65f97678-824c-42ac-bf82-ed5fbb844e10"}],"postedAt":"2026-07-07T07:23:52.152Z","expiresAt":"2026-08-06T00:00:00.000Z","aiInfrastructure":["AWS Bedrock","Anthropic","MCP","Mistral","OpenAI API"],"techStackTags":["Azure","Kubernetes","Next.js","Node.js","PostgreSQL","Prisma","Redis","Terraform","TypeScript"],"agenticFrameworks":["Agno"],"geoRegion":"eu","countries":["DE"],"remoteScope":"onsite","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#022296","vibrant":"#446cfc","darkMuted":"#022296","lightMuted":"#032095","darkVibrant":"#021e82","lightVibrant":"#869dfc"},"viewCount":9,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":1,"impressionCount":252,"slug":"langdock-platform-engineer-TLUM0f","isFresh":true,"featured":false},{"title":"Forward Deployed Engineer","companyName":"Salesforce","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://salesforce.com&size=128","companyWebsite":"https://www.salesforce.com","description":"<p>Forward Deployed Engineer, Ireland (Dublin) | Salesforce</p>\n<p>As a Forward Deployed Engineer at Salesforce, you bring cutting-edge AI solutions to Salesforce's most strategic clients. You deeply understand customers' most complex problems, architect sophisticated solutions, and lead the end-to-end technical delivery of innovative, impactful solutions that leverage the Agentforce platform and beyond.</p>\n<h4>Core responsibilities:</h4>\n<ul><li>Technical Delivery: Own the end-to-end technical delivery of complex AI solutions, personally writing critical code, configuring systems, and troubleshooting issues, while guiding and reviewing the work of junior team members.</li><li>Agentforce Solutions: Work directly with customers to design and build custom intelligent agents using the Agentforce platform, ensuring they precisely meet unique business requirements and integrate seamlessly with existing customer ecosystems.</li><li>Data Integration: Own the entire data lifecycle, from strategic design of data models to hands-on building of efficient processing pipelines and integration strategies, ensuring data is always ready, optimized, and secure for advanced AI applications.</li><li>Strategic Partnership: Embed yourself deeply with client teams to grasp their operational challenges and strategic goals, translating these nuanced needs into clear, actionable technical requirements and solution designs.</li></ul>\n<p>This is a hands-on, customer-facing engineering role building production AI/agent solutions on Agentforce.</p>","location":"Dublin, Ireland","city":"Dublin","locationType":"hybrid","employmentType":"full-time","seniority":"senior","salaryMin":null,"salaryMax":null,"salaryCurrency":null,"applyMethods":[{"type":"url","value":"https://careers.salesforce.com/en/jobs/jr346377/forward-deployed-engineer/"}],"postedAt":"2026-07-07T07:23:52.152Z","expiresAt":"2026-08-06T00:00:00.000Z","aiInfrastructure":[],"techStackTags":["LLM","Python"],"agenticFrameworks":[],"geoRegion":"eu","countries":["IE"],"remoteScope":"hybrid","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#026a96","vibrant":"#049cdc","darkMuted":"#026a96","lightMuted":"#126586","darkVibrant":"#025c82","lightVibrant":"#3cb4e4"},"viewCount":5,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":1,"impressionCount":162,"slug":"salesforce-forward-deployed-engineer-p1cB7P","isFresh":true,"featured":false},{"title":"Product Engineer","companyName":"Langdock","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://langdock.com&size=128","companyWebsite":"https://www.langdock.com","description":"<p>HELP US CHANGE THE WAY THE WORLD WORKS</p>\n<p>BUILD SOMETHING THAT MATTERS.</p>\n<p>Langdock exists to change the way the world works, bridging the gap between what technology can do and what people actually do with it. We bring all leading AI models into one secure, model-agnostic platform and make them usable across entire organizations. Over 6,000 companies use our platform every day, from fast-growing startups to some of Europe's largest enterprises. Their employees open Langdock to draft strategies, analyze documents, or automate workflows - helping them to work smarter, think more creatively, and reach their full potential.</p>\n<p>THE ROLE</p>\n<p>A Product Engineer at Langdock owns features end to end. You take a customer problem, scope it, design the solution, build it across the stack, ship it, and stay close to it after release.</p>\n<p>Product Engineers are close to users. You join customer calls, watch people use the product, read support context, and use that input to decide what should exist and how it should behave. This gives you a lot of product influence. The person building the feature is expected to shape the feature.</p>\n<p>We are deliberately resource-constrained. For most reasonable feature ideas, the question is not whether we should build them, but when. Product Engineers are the people who turn that prioritization into shipped product quickly, without lowering the bar.</p>\n<p>From a product perspective, we like how companies like Linear https://linear.app/ build software: intuitive, efficient and with a high quality standard. The bar is not just whether a feature works. The bar is whether it feels inevitable. We want that level of product taste while solving a much more complex AI and enterprise problem.</p>\n<p>WHAT YOU WILL WORK ON</p>\n<p>You will work across our main product surfaces: Chat, Agents, Workflows, Mobile and admin tooling. Examples of the kind of projects Product Engineers have led:</p>\n<ul><li>Evals for agents. We need infrastructure and product surfaces that let us evaluate agent behavior, compare runs, catch regressions, and help customers trust what agents do.</li><li>Library, a system for organizing attachments and files uploaded across the platform. The challenge is not only storage; it is making user and workspace knowledge retrievable, understandable, and governed over time.</li><li>Governance for agents in enterprise workspaces. Admins need to manage agents at scale: who can create them, who can use them, how they are shared, how they are audited, and how they fit into existing security policies.</li><li>Excel and Outlook plugins that bring Langdock into the tools enterprise users already live in.</li><li>The Langdock Workflows product, which allows users compose multi-step automations with agents, conditions, loops, structured outputs, and human-in-the-loop nodes.</li></ul>\n<p>You will pick up an area of the product to work on over time and shape where it goes next.</p>\n<p>TECH STACK</p>\n<ul><li>TypeScript across a Turborepo monorepo</li><li>Next.js, React, Tailwind on the front end</li><li>Node.js, PostgreSQL with Prisma (and pgVector), Redis with BullMQ on the back end</li><li>React Native and Expo for the mobile app</li><li>Linear for ticket management</li><li>Datadog and Sentry for observability</li></ul>\n<p>You should be familiar with most of this. We trust you to pick up the rest quickly.</p>\n<p>HOW WE SHIP</p>\n<ul><li>Small temporary squads of 2 to 3 engineers around a topic. Squads form, ship, and dissolve.</li><li>Every change is linked to a Linear ticket and ships via PR. CI runs lint, tests, and AI review. One human review is required.</li><li>We deploy continously to production.</li><li>Engineers have the opportunity to join customers on-site, to sit with real users during hackathons or workshops</li><li>We use AI tools heavily in engineering. You have freedom in the tools to use (eg. Cursor, Claude, Codex). We are building a strong harness that allows engineers to move fast while shipping high quality software.</li><li>We are building a strong operating system around AI-assisted shipping: clear ticket context, focused branches, AI review before human review, screenshots or videos for product changes, and production verification after release.</li><li>The engineer who ships a change owns it in production. If something breaks, you lead the fix.</li></ul>\n<p>WHAT WE ARE LOOKING FOR</p>\n<ul><li>3 to 6 years of full-stack experience shipping production software people actually use.</li><li>Strong in TypeScript, React, and Node. Comfortable with Postgres, Redis, queues, and async work.</li><li>Very driven. You have high standards for yourself, move fast without needing to be pushed, and want to do the best work of your career.</li><li>Close to users. You want to understand why people behave the way they do, and you use that understanding to make product decisions.</li><li>Able to take a vague problem to a shipped feature. You scope, decide, implement, test, and iterate.</li><li>A working understanding of how LLMs behave: context windows, tool calling, streaming, and the differences between major providers.</li><li>Heavy user of AI tooling in your own development workflow, with opinions on what works and what does not. We are looking for people who are already compounding their output with AI.</li><li>Demonstrated ability to ship things end to end: side projects, open source, products with real users, or something equivalent.</li></ul>\n<p>WORKING HERE</p>\n<p>We work from one office in Berlin, Greifswalder Str. 212. Engineering is fully in person; we believe the hardest problems get solved faster at a whiteboard than in a Slack thread.</p>\n<p>Most engineers start around 8:30. Lunch and dinner are together when people stay. Running and gym are part of the routine for many of us.</p>\n<p>COMPENSATION</p>\n<p>Top of market, transparent levels, all roles include equity. Levels are tied to scope, not negotiation or years of experience. We narrow down the range early in the process.</p>\n<p>NEXT STEPS</p>\n<p>If this sounds like your kind of work, we would like to meet you.</p>\n<p>We move fast. Most processes complete within two weeks.</p>","location":"Berlin, Germany","city":"Berlin","locationType":"onsite","employmentType":"full-time","seniority":"mid","salaryMin":90000,"salaryMax":140000,"salaryCurrency":"EUR","applyMethods":[{"type":"url","value":"https://jobs.ashbyhq.com/langdock/ba8e2d17-818f-4ffb-b5ee-05d97b59a596"}],"postedAt":"2026-07-07T07:23:52.152Z","expiresAt":"2026-08-06T00:00:00.000Z","aiInfrastructure":["pgvector"],"techStackTags":["Expo","Next.js","Node.js","PostgreSQL","Prisma","React","React Native","Redis","TypeScript"],"agenticFrameworks":["Agno"],"geoRegion":"eu","countries":["DE"],"remoteScope":"onsite","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#022296","vibrant":"#446cfc","darkMuted":"#022296","lightMuted":"#032095","darkVibrant":"#021e82","lightVibrant":"#869dfc"},"viewCount":21,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":2,"impressionCount":258,"slug":"langdock-product-engineer-quZHbD","isFresh":true,"featured":false},{"title":"Product Engineer","companyName":"Ojin","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://ojin.ai&size=128","companyWebsite":"https://ojin.ai","description":"<p>Product Engineer (m/f/d) | Berlin (hybrid) or Remote (CET ±2h)</p>\n<p>Ojin builds the infrastructure that makes AI feel human: real-time AI agents with natural, lifelike conversation on a globally distributed GPU fabric. After five years proving this works for enterprise customers, we're opening it up as a developer platform, and this is the team that will build it from the ground up.</p>\n<h4>What you'll do:</h4>\n<p>You'll own features end-to-end, from interactive frontends through to Python-based agentic backends, working directly with the founders on a 15-person team. You help define the solution, design the architecture, and ship it. This includes full-stack web development and building the Python backends for our AI capabilities, including proxy services, agentic systems, and conversational AI flows.</p>\n<p>Stack: TypeScript, React, Node.js, Python, WebRTC, WebSockets, AWS (Infrastructure-as-Code / AWS CDK).</p>\n<h4>What we're looking for:</h4>\n<ul><li>3-5+ years of professional experience</li><li>Genuine full-stack ability (React/TypeScript + Node.js), plus Python proficiency</li><li>Startup experience</li><li>Real enthusiasm for building AI products</li><li>Fluent English</li></ul>\n<p>We're not able to offer relocation or visa sponsorship. If you're already in Berlin, this is a hybrid role. If you're elsewhere, we're open to fully remote within CET ±2h.</p>\n<p>Perks: 28 days vacation, €900 annual education budget, home office equipment, remote-first culture.</p>","location":"Berlin (hybrid) or Remote (CET ±2h)","city":"Berlin","locationType":"hybrid","employmentType":"full-time","seniority":"mid","salaryMin":null,"salaryMax":null,"salaryCurrency":null,"applyMethods":[{"type":"url","value":"https://job-boards.eu.greenhouse.io/journee/jobs/4716174101"}],"postedAt":"2026-07-07T07:23:52.152Z","expiresAt":"2026-08-06T00:00:00.000Z","aiInfrastructure":[],"techStackTags":["AWS","Node.js","Python","React","TypeScript","WebRTC","WebSockets"],"agenticFrameworks":[],"geoRegion":"eu","countries":["DE"],"remoteScope":"eu-wide","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":null,"viewCount":18,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":1,"impressionCount":241,"slug":"ojin-product-engineer-vK9Q5N","isFresh":true,"featured":false},{"title":"Member of Technical Staff","companyName":"Complement AI","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://complement.ai&size=128","companyWebsite":"https://complement.ai","description":"<p>Complement builds AI that autonomously operates factories. We connect the fragmented systems inside a factory (ERP, MES, PLCs, spreadsheets, etc) into a unified data layer, then deploy AI agents that optimize decisions across the whole operation for profit. We recently signed our first six-figure contract with a precision aerospace manufacturer supplying SpaceX and Blue Origin. More is in the pipeline.</p>\n<h4>As a Member of Technical Staff, you'll work across the stack. Core areas include:</h4>\n<p>Data &amp; Integration - Build AI systems that automatically connect to any legacy data source and turn them into a unified, real-time view of factory operations.</p>\n<p>Simulation &amp; Optimization - Run real-time simulations over the global factory state to balance work order demand, mitigate delays, and identify bottlenecks.</p>\n<p>Manufacturing Systems - Embed with factory operators to map workflows and validate interventions.</p>\n<p>Human Computer Interaction - Design interfaces that make production legible and deliver recommendations to operators.</p>\n<p>We care about what you've shipped under ambiguity more than which of these you specialize in. We seek people who can ship to messy, dynamic environments across the entire technical stack. The team has seven members from Neuralink, Apple, Tesla, and AWS, backed by First Round Capital.</p>\n<p>Compensation: $150K - $300K + Equity. Location: San Francisco or New York City (onsite).</p>","location":"San Francisco or New York City","city":"San Francisco","locationType":"onsite","employmentType":"full-time","seniority":"senior","salaryMin":150000,"salaryMax":300000,"salaryCurrency":"USD","applyMethods":[{"type":"url","value":"https://jobs.ashbyhq.com/complement/7d410785-31db-4aa4-85f6-63a9d4aa79d0"}],"postedAt":"2026-07-07T07:23:52.152Z","expiresAt":"2026-08-06T00:00:00.000Z","aiInfrastructure":[],"techStackTags":[],"agenticFrameworks":[],"geoRegion":"us","countries":["US"],"remoteScope":"onsite","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#4c4c4c","vibrant":"#7f7f7f","darkMuted":"#040404","lightMuted":"#4c4c4c","darkVibrant":"#424242","lightVibrant":"#bcbcbc"},"viewCount":2,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":0,"impressionCount":186,"slug":"complement-ai-member-of-technical-staff--Q_Ycu","isFresh":true,"featured":false},{"title":"Senior / Staff Software Engineer, AI","companyName":"Rivio","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://rivio.ai&size=128","companyWebsite":"https://www.rivio.ai","description":"<p>Rivio.ai | Senior / Staff Software Engineer, AI | SF, hybrid/remote (US only) | $200-$250k + equity</p>\n<p>Rivio embeds procurement intelligence directly into sourcing and negotiation workflows, helping teams capture savings and build institutional knowledge without adding headcount. Backed by Google, MIT, S32. Customers include Checkr, Cribl, Brex, Harvey, Oura.</p>\n<h4>What Makes This Role Different:</h4>\n<ul><li>Building across AI agents, knowledge graphs, and integrations as a full-stack generalist, wherever the hardest problem lives.</li><li>Real product with real customers, not internal tooling.</li><li>Everyone at the company is an AI power user, and we're pushing the boundaries of native AI engineering.</li><li>High ownership, no bureaucracy, outsized equity at an early stage.</li><li>We think the best engineers today have the judgment needed to direct their army of agents, and do the work themselves when needed.</li></ul>\n<p>Reach out directly with any questions: llarrere@rivio.ai (Leo, CTO &amp; Cofounder, Rivio.ai).</p>","location":"SF, hybrid/remote (US only)","city":"San Francisco","locationType":"hybrid","employmentType":"full-time","seniority":"senior","salaryMin":200000,"salaryMax":250000,"salaryCurrency":"USD","applyMethods":[{"type":"url","value":"https://www.rivio.ai/careers/senior-software-engineer-ai"}],"postedAt":"2026-07-07T07:23:52.152Z","expiresAt":"2026-08-06T00:00:00.000Z","aiInfrastructure":[],"techStackTags":[],"agenticFrameworks":[],"geoRegion":"us","countries":["US"],"remoteScope":"country-specific","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#949494","vibrant":"#7f7f7f","darkMuted":"#3c3c3c","lightMuted":"#bcbcbc","darkVibrant":"#424242","lightVibrant":"#bcbcbc"},"viewCount":13,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":4,"impressionCount":190,"slug":"rivio-senior-staff-software-engineer-ai-Ly3gqz","isFresh":true,"featured":false},{"title":"[Pipeline] Staff+ Software Engineer, Developer Acceleration","companyName":"Anthropic","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://anthropic.com&size=128","companyWebsite":"https://www.anthropic.com","description":"<div class=\"content-intro\"><h2><strong>About Anthropic</strong></h2>\n<p>Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p></div><h2><strong>Staff+ Software Engineer, Developer Acceleration</strong></h2>\n<h3><strong>About the Role</strong></h3>\n<p>Anthropic is seeking talented and experienced Staff+ Software Engineers to join Developer Acceleration within the Developer Productivity organization. The Developer Acceleration team is responsible for the infrastructure that enables thousands of employees to be productive via agents. By joining this team, you'll have a direct impact on the velocity and quality of Anthropic's research and engineering development. You will be defining how AI transforms our work and building the future of agentic productivity.</p>\n<p>Some things that the team owns:</p>\n<ul>\n<li><strong>Agent Runtime Platform</strong> for provisioning and running agents</li>\n<li><strong>Knowledge</strong> for providing relevant internal context to agents and humans</li>\n</ul>\n<p>Some of our work is mentioned in <a href=\"https://www.anthropic.com/institute/recursive-self-improvement\">When AI Builds itself</a> and <a href=\"https://claude.com/blog/building-effective-human-agent-teams\">Building effective human-agent teams</a>.&nbsp;</p>\n<h3><strong>Responsibilities</strong></h3>\n<ul>\n<li>Define the future of agentic productivity at scale and at the frontier</li>\n<li>Own the technical strategy and roadmap for your area, translating goals into concrete execution</li>\n<li>Define what quality means for agent-driven engineering work, and hold that line across the company</li>\n<li>Stay hands-on: build and ship the runtime platform and tooling</li>\n<li>Build agent harnesses and experiment with various context management strategies to improve agent performance and correctness</li>\n<li>Write evals to benchmark agent behaviors</li>\n<li>Deliver impact by collaborating cross-team</li>\n<li>Own infrastructure scalability and reliability, and establish operational excellence practices</li>\n</ul>\n<h3><strong>You May Be a Good Fit If You:</strong></h3>\n<ul>\n<li>Have 10+ years building and operating large-scale distributed systems</li>\n<li>Have 3+ years of experience leading large scale, complex projects or teams as an engineer or tech lead</li>\n<li>Have a lot of experience with agents, eg. agents doing technical/knowledge work</li>\n<li>Are obsessed with productivity and transforming how we work</li>\n<li>Have experience building scalable platforms</li>\n<li>Have excellent communication skills and enjoy supporting internal partners</li>\n</ul>\n<h3><strong>Strong Candidates May Also Have:</strong></h3>\n<ul>\n<li>Deep understanding of, and care for, how human work will evolve; and a drive to help shepherd that transition</li>\n<li>Experience with container or VM orchestration at scale</li>\n<li>Experience working with researchers and engineers</li>\n<li>Developer productivity or infrastructure experience, such as CI/CD, builds, etc.&nbsp;</li>\n<li>Experience building widely adopted CLI tools and services</li>\n</ul>\n<p><strong><em>Deadline to apply:</em></strong><em> None. Applications will be reviewed on a rolling basis.</em></p><div class=\"content-pay-transparency\"><div class=\"pay-input\"><div class=\"description\"><p>The annual compensation range for this role is listed below.&nbsp;</p>\n<p>For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</p></div><div class=\"title\">Annual Salary:</div><div class=\"pay-range\"><span>$405,000</span><span class=\"divider\">&mdash;</span><span>$485,000 USD</span></div></div></div><div class=\"content-conclusion\"><h2><strong>Logistics</strong></h2>\n<p><strong>Minimum education: </strong>Bachelor’s degree or an equivalent combination of education, training, and/or experience</p>\n<p><strong>Required field of study:&nbsp;</strong>A field relevant to the role as demonstrated through coursework, training, or professional experience</p>\n<p><strong>Minimum years of experience: </strong>Years of experience required will correlate with the internal job level requirements for the position</p>\n<p><strong>Location-based hybrid policy:</strong> Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p>\n<p><strong data-stringify-type=\"bold\">Visa sponsorship:</strong>&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>\n<p><strong>We encourage you to apply even if you do not believe you meet every single qualification.</strong> Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.<br><br><strong data-stringify-type=\"bold\">Your safety matters to us.</strong> To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;<u data-stringify-type=\"underline\"><a class=\"c-link c-link--underline\" href=\"http://anthropic.com/careers\" target=\"_blank\" data-stringify-link=\"http://anthropic.com/careers\" data-sk=\"tooltip_parent\" data-remove-tab-index=\"true\">anthropic.com/careers</a></u>&nbsp;directly for confirmed position openings.</p>\n<h2><strong>How we're different</strong></h2>\n<p>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.</p>\n<p>The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.</p>\n<h2><strong>Come work with us!</strong></h2>\n<p>Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. <strong data-stringify-type=\"bold\">Guidance on Candidates' AI Usage:</strong>&nbsp;Learn about&nbsp;<a class=\"c-link\" href=\"https://www.anthropic.com/candidate-ai-guidance\" target=\"_blank\" data-stringify-link=\"https://www.anthropic.com/candidate-ai-guidance\" data-sk=\"tooltip_parent\">our policy</a> for using AI in our application process.</p></div>","location":"San Francisco, CA / Seattle, WA","city":"San Francisco","locationType":"onsite","employmentType":"full-time","seniority":"staff","salaryMin":405000,"salaryMax":485000,"salaryCurrency":"USD","applyMethods":[{"type":"url","value":"https://job-boards.greenhouse.io/anthropic/jobs/5290360008"}],"postedAt":"2026-07-07T07:23:52.152Z","expiresAt":"2026-08-06T00:00:00.000Z","aiInfrastructure":[],"techStackTags":["Python"],"agenticFrameworks":[],"geoRegion":"us","countries":["US"],"remoteScope":"onsite","visaSponsorship":true,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#84847c","vibrant":"#c8b636","darkMuted":"#444444","lightMuted":"#ccccc4","darkVibrant":"#685e1c","lightVibrant":"#fcfbf4"},"viewCount":5,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":0,"impressionCount":204,"slug":"anthropic-pipeline-staff-software-engineer-developer-acceleration-AQ8FJh","isFresh":true,"featured":false},{"title":"AI Engineer (Part-Time)","companyName":"Implicit","companyLogoUrl":"https://sntx9f48h9yditjs.public.blob.vercel-storage.com/logos/9d27aae6-3529-4d00-98a3-77f775e5fd11.webp","companyWebsite":null,"description":"<p>Applied AI Engineer (Part-Time, Remote – U.S.)</p>\n<p>Innovation is at the heart of what we do. At Implicit, we're building the leading AI Knowledge Engine for Maintenance and Support. Our secure, no-code platform transforms complex technical documents, manuals, procedures, and operational data into trusted, structured knowledge that powers both human experts and AI agents.</p>\n<p>We're looking for a part-time Applied AI Engineer to help build the next generation of enterprise AI. You'll work alongside experienced engineers, product leaders, and AI researchers to develop production-grade AI capabilities that solve real-world problems across defense, manufacturing, customer support, and other knowledge-intensive industries.</p>\n<p>What You'll Do</p>\n<ul><li>Design and build AI applications powered by LLMs, RAG, semantic search, and AI agents.</li><li>Develop intelligent pipelines for document ingestion, knowledge extraction, and retrieval.</li><li>Improve answer quality through prompt engineering, evaluation frameworks, and retrieval optimization.</li><li>Build and optimize production AI services using Python and modern AI frameworks.</li><li>Work with agentic development tools including Claude Code, Cursor, and AI-assisted coding workflows.</li><li>Write clean, maintainable, well-tested code with a strong focus on quality and reliability.</li><li>Collaborate closely with product, engineering, and data science teams to rapidly prototype and ship new capabilities.</li><li>Evaluate emerging AI models, tools, and techniques to continuously improve the platform.</li></ul>\n<p>Required Qualifications</p>\n<ul><li>3+ years of experience building AI, machine learning, or NLP applications through industry, open-source, or research.</li><li>Strong experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), embeddings, and semantic search.</li><li>Solid understanding of NLP, machine learning, and modern deep learning techniques.</li><li>Hands-on experience with PyTorch, TensorFlow, or similar ML frameworks.</li><li>Strong Python development skills and experience building production software.</li><li>Experience working with APIs, vector databases, and AI application frameworks.</li><li>Bachelor's degree in Computer Science or a related field, or equivalent practical experience.</li></ul>\n<p>Preferred Qualifications</p>\n<ul><li>Experience building AI systems for enterprise knowledge management or technical documentation.</li><li>Experience with AI agents, tool calling, and agentic workflows.</li><li>Familiarity with knowledge graphs, OCR, document parsing, or multimodal AI.</li><li>Experience deploying AI applications using modern MLOps practices.</li><li>Experience evaluating and benchmarking LLM performance.</li></ul>\n<p>What We Offer: Competitive compensation; flexible part-time schedule; remote work within the United States; flexible vacation policy; opportunity to build cutting-edge AI products with a small, experienced, and highly technical team.</p>","location":"United States (Remote)","city":null,"locationType":"remote","employmentType":"part-time","seniority":"mid","salaryMin":null,"salaryMax":null,"salaryCurrency":null,"applyMethods":[{"type":"url","value":"https://job-boards.greenhouse.io/implicit/jobs/8039713"}],"postedAt":"2026-07-07T07:23:52.152Z","expiresAt":"2026-08-06T00:00:00.000Z","aiInfrastructure":["PyTorch","TensorFlow"],"techStackTags":["LLMs","NLP","Python"],"agenticFrameworks":[],"geoRegion":"us","countries":[],"remoteScope":"country-specific","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":null,"viewCount":8,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":2,"impressionCount":194,"slug":"implicit-ai-engineer-part-time-XPionM","isFresh":true,"featured":false},{"title":"Back-End Engineer - Team Agents","companyName":"Taktile","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://taktile.com&size=128","companyWebsite":"https://www.taktile.com","description":"<p>About the role</p>\n<p>Taktile empowers financial institutions to transform into truly AI-native organizations. We’re growing rapidly with enterprise customers across banks and insurance companies, and we’re looking for a Back-End Engineer to help build and ship production features across this stack. You'll work alongside experienced engineers, contribute to real product impact from day one, and grow your skills in a fast-moving, high-ownership environment.</p>\n<p>Taktile is a hybrid company. This role requires working at least 3 days per week from our Berlin HQ.</p>\n<p>What You'll Do</p>\n<ul><li>Build and ship backend features for Taktile's AI agent platform in Python (FastAPI), deployed on AWS serverless infrastructure.</li><li>Own your work end-to-end: collaborate on scope, implement, test, release, and iterate based on real usage and customer feedback.</li><li>Improve how agents run, how they connect to external tools, and how they behave when something goes wrong.</li><li>Use leading-edge AI tools (e.g. Claude) on a daily basis to move faster, improve quality, and build AI-native capabilities where it makes sense.</li><li>Review pull requests with depth, improve test coverage and CI/CD, and raise the bar on reliability and engineering excellence.</li><li>Engage actively in team rituals such as daily syncs, planning sessions, demos, and technical deep-dive discussions.</li><li>Grow as an individual and accelerate your career by learning from experienced team members, contributing to a foundational layer of the product, and joining cross-team learning groups.</li><li>For career growth at Taktile, this role will involve daytime ops duty and at some point joining an on-call rotation, so you need to have passion for owning systems end to end and grow your DevSecOps skills as well.</li></ul>\n<p>Technical stack</p>\n<ul><li>Backend: Python (FastAPI, Pydantic)</li><li>Data: DynamoDB, Postgres</li><li>Cloud: AWS serverless (Lambda, API Gateway)</li><li>AI: LLM orchestration, tool-use frameworks, streaming execution</li><li>Frontend: React, TypeScript (you will collaborate closely, but this is not a front-end role)</li></ul>\n<p>Requirements</p>\n<ul><li>Strong engineering fundamentals with a passion for simplicity and precision.</li><li>Fluency in English, both written and spoken, is essential as we operate in a remote environment requiring clear and effective communication. Strong English skills are also crucial to efficiently interacting with AI.</li><li>Prior industry experience with Python back-end development (this is not an entry-level position).</li><li>Experience building and operating RESTful APIs and working with databases.</li><li>Experience integrating into AWS or similar cloud providers.</li></ul>\n<p>Ideally, but not required</p>\n<ul><li>FastAPI and Pydantic experience.</li><li>DynamoDB or Postgres, SQLAlchemy.</li><li>Exposure to LLM application development, agent frameworks, or building developer tools.</li><li>Prior ops or on-call experience.</li><li>Experience with distributed systems, async task processing, or observability tooling (tracing, metrics, logging).</li></ul>\n<p>Our Offer</p>\n<ul><li>Work with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here.</li><li>Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo.</li><li>Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe.</li><li>Receive a top-of-market equity and cash compensation package.</li><li>Get access to a self-development budget you can use to e.g. attend conferences, buy books or take classes.</li><li>Receive a new Apple MacBook Pro, as well as meaningful home office set-up.</li></ul>\n<p>Our Stance</p>\n<ul><li>We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply.</li><li>We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears.</li></ul>\n<p>About Us<br/>Taktile enables financial institutions to transform into AI-native organizations that are increasingly powered by autonomous agents. With our modular Agentic Decision Platform, customers combine AI agents, rules, relevant context, and human oversight to safely automate and optimize their decisions—approving more customers, reimbursing claims instantly, stopping fraud before it spreads, and financing every business worth funding. Founded in 2020, Taktile powers millions of decisions daily for institutions including Mercury, Monzo, Faire, and Pleo. With offices in New York, Berlin, London, São Paulo, and Iași, the company has raised $184M from Growth Equity at Goldman Sachs Alternatives, Index Ventures, Tiger Global, Balderton Capital, and Y Combinator. Learn more at taktile.com http://taktile.com</p>\n<p>About Your Employment. Taktile operates through regional entities worldwide. Depending on the location of this role, your employment or engagement will be with Taktile LLC (US), Taktile GmbH (Germany), Taktile Ltd (UK), or Taktile SRL (Romania). The applicable entity will be confirmed during the offer process.</p>\n<p>Your Privacy. Taktile (“we” or “us”) is the controller of the personal data you provide during this</p>\n<p>application process. We collect and process your name, contact details, resume/CV, work history, education, and any other information you submit or that we obtain from publicly available sources or references.</p>\n<p>How we use your data: We process your personal data to evaluate your candidacy, communicate with you about the recruitment process, comply with legal obligations (such as right-to-work verification), and, with your consent, to consider you for future opportunities.</p>\n<p>Legal basis (EU/UK applicants): We rely on (i) pre-contractual steps at your request (GDPR/UK GDPR Art.6(1)(b)), (ii) legal obligations (Art. 6(1)(c)), and (iii) our legitimate interest in evaluating candidates (Art.6(1)(f)).</p>\n<p>Retention: If your application is unsuccessful, we retain your data for 12 months after the recruitment process concludes, unless you consent to longer retention. Successful candidates’ data becomes part of their employment records.</p>\n<p>Your rights: Depending on your location, you may have the right to access, correct, delete, or restrict the processing of your personal data, to data portability, and to withdraw consent.</p>\n<p>Automated decision-making: We use automated tools to assist in screening applications. No hiring decision is made solely by automated means without human review.</p>\n<p>International transfers: Your data may be transferred to and processed in the United States, Germany, the United Kingdom, or Romania. Where required, transfers are protected by Standard Contractual Clauses or other approved mechanisms.</p>\n<p>By submitting your application, you acknowledge that you have read and understood Taktile’s Applicant Privacy Policy. To exercise your rights or ask questions, contact privacy@taktile.com</p>","location":"Berlin, Germany","city":"Berlin","locationType":"hybrid","employmentType":"full-time","seniority":"mid","salaryMin":null,"salaryMax":null,"salaryCurrency":null,"applyMethods":[{"type":"url","value":"https://jobs.ashbyhq.com/taktile/e6af6cc0-89c3-4caf-ba68-11ac5aede16c"}],"postedAt":"2026-07-07T07:23:52.152Z","expiresAt":"2026-08-06T00:00:00.000Z","aiInfrastructure":[],"techStackTags":["AWS Lambda","DynamoDB","FastAPI","PostgreSQL","Pydantic","Python","React","TypeScript"],"agenticFrameworks":[],"geoRegion":"eu","countries":["DE"],"remoteScope":"hybrid","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#2d2375","vibrant":"#4c3cc4","darkMuted":"#2d2375","lightMuted":"#212177","darkVibrant":"#271e65","lightVibrant":"#bcbcec"},"viewCount":11,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":3,"impressionCount":233,"slug":"taktile-back-end-engineer-team-agents-ZUDKBX","isFresh":true,"featured":false},{"title":"AI Architect / Engineer (Agentic AI & LLM Architecture)","companyName":"Talan","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://talan.com&size=128","companyWebsite":"https://www.talan.com","description":"<p>Talan Data x AI is hiring a hands-on AI Architect / Engineer to design and build agentic AI and LLM systems at enterprise scale across multiple concurrent client engagements. You will design agentic architectures and multi-agent orchestration patterns, defining how LLMs, tools, APIs and retrieval layers interact reliably. You will define LLM integration and prompting strategies, including RAG, fine-tuning, evaluation and guardrailing approaches, and bring MLOps/LLMOps practices (observability, testability, production readiness) to bear.</p>\n<p>This is a hands-on architectural role, not a purely advisory one: you are expected to remain close to the code and prototype where it accelerates a decision. Tech includes Python, cloud engineering, vector databases, knowledge graphs, advanced retrieval techniques, CI/CD for models, monitoring/evaluation tooling, and cost optimization. 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This is a hands-on builder role focused on implementing, evaluating, optimizing and deploying agentic workflows that solve real enterprise problems, bridging research and production.</p>\n<h4>What you'll do:</h4>\n<ul><li>Design and implement end-to-end AI agent workflows using the KPU technology, working directly with customers to rapidly iterate on solutions.</li><li>Build robust evaluation datasets and frameworks to measure agent/AI performance, reliability, and accuracy.</li><li>Optimize workflows for performance, explainability, and enterprise-grade reliability.</li><li>Push the boundaries of what's possible with LLMs, RAG systems, and AI agents in production environments.</li><li>Stay at the forefront of Agentic AI development, continuously applying new techniques to improve the platform.</li></ul>\n<h4>What you'll bring:</h4>\n<ul><li>Production experience with LLMs and AI features.</li><li>Proficiency in Python for production systems.</li><li>Expertise in prompt optimization and context engineering.</li><li>Understanding of ML evaluation methodologies.</li><li>A self-starter comfortable in ambiguous, fast-moving startup environments.</li></ul>\n<p>Fully remote within Europe. 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We've been building since 2020, started in campaign security and data science, backed by Mozilla and Y Combinator. We have 200+ organizations on the platform and are funded by our customers. Attackers have never had better tools. LLMs, social media, and search surface personal data in new ways. A few prompts can launch a deepfake and impersonation campaign. Risk sources appear and disappear across social platforms, telegram chats, and private data broker platforms. Kanary exists to play the cat and mouse game for people at the speed and scale of an agentic internet. Kanary is a combination of software workflows (crawling, scraping, automation), AI (data classification, research, code generation), and people (analysts trained to support customers and escalate). This is an exciting opportunity for those who are interested in building systems and agents to solve hard and often adversarial problems. We’re growing our team, and seeking a multifaceted engineer (2+ years experience). We’re looking for engineers with web scraping, data pipelines, or security tooling experience. Experience with Python/Django, Typescript, React, and LLM APIs is a plus. Must be authorized to work in the US. Email steven@kanary.com with something you've built and why it was hard. Also be sure to include the keyword I’ve put in my HN profile. Learn more here: https://www.kanary.com/join-the-team#senior-software-enginee...</p>","location":"Remote (US)","city":null,"locationType":"remote","employmentType":"full-time","seniority":"mid","salaryMin":null,"salaryMax":null,"salaryCurrency":null,"applyMethods":[{"type":"email","value":"steven@kanary.com"},{"type":"url","value":"https://www.kanary.com/join-the-team"}],"postedAt":"2026-07-07T07:23:52.152Z","expiresAt":"2026-08-06T00:00:00.000Z","aiInfrastructure":[],"techStackTags":["Django","Python","React","TypeScript"],"agenticFrameworks":[],"geoRegion":"us","countries":["US"],"remoteScope":"country-specific","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#977f01","vibrant":"#fcd404","darkMuted":"#977f01","lightMuted":"#977f01","darkVibrant":"#836e01","lightVibrant":"#fde87b"},"viewCount":13,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":11,"impressionCount":268,"slug":"kanary-full-stack-engineer-FVr0hB","isFresh":true,"featured":false},{"title":"Senior AI Engineer - Systems & Integration","companyName":"Emergence","companyLogoUrl":"https://sntx9f48h9yditjs.public.blob.vercel-storage.com/logos/e82852b3-6d33-4d5d-999f-1e48ac288a7e.webp","companyWebsite":null,"description":"<p>Senior AI Engineer - Systems &amp; Integration, Emergence | India - Remote | Full-Time</p>\n<p>Who We Are<br/>Emergence is a thematic holding company backed by the Pritzker Organization focused exclusively on acquiring and scaling category-defining software businesses. We invest in focused portfolios, specialized operating groups with deep domain expertise and proven playbooks. Emergence combines operational rigor with a growth equity mindset, driving sustainable ARR growth, profitability improvements, and industry-leading customer outcomes.</p>\n<p>The Mission<br/>Design and deploy production AI systems that integrate cleanly across multiple backend services, enabling portfolio companies to embed AI at scale.</p>\n<p>What You'll Do</p>\n<ul><li>Design end-to-end AI integration architectures connecting LLM APIs, vector databases, and inference systems to existing backend infrastructure.</li><li>Build reusable ML infrastructure components like feature pipelines, model serving layers, and evaluation frameworks that multiple portfolio companies standardize on.</li><li>Establish AI system integration best practices and governance patterns that become repeatable playbooks across the holding company.</li><li>Own system design reviews for AI initiatives across portfolio companies, identifying bottlenecks and recommending architectural improvements.</li><li>Optimize production AI systems for cost and latency by profiling pipelines, implementing compression, and right-sizing compute infrastructure.</li><li>Mentor engineers at portfolio companies on production AI best practices, reproducibility, monitoring, and safe deployment patterns.</li></ul>\n<p>What We're Looking For<br/>Must-haves</p>\n<ul><li>5+ years building backend systems or integrations with hands-on experience connecting multiple third-party tools and APIs in production.</li><li>Proven track record architecting system integrations at scale that reduced integration time or standardized tooling across teams.</li><li>Strong Python and SQL skills for building data pipelines and backend services that feed AI systems.</li><li>Hands-on production experience deploying LLM applications, vector search systems, ML inference pipelines, or automated workflows.</li><li>Deep understanding of integrating external AI tools into existing backend architectures without requiring core system rearchitecture.</li><li>Built systems that are monitored, versioned, and reproducible, not one-off prototypes or experiments.</li></ul>\n<p>Nice-to-haves</p>\n<ul><li>Experience with MLOps platforms like MLflow, Weights &amp; Biases, or SageMaker, or ML infrastructure tooling.</li><li>Familiarity with Kubernetes, Docker, or cloud deployment on AWS, GCP, or Azure for containerizing AI services.</li><li>Experience building retrieval-augmented generation systems or scaling prompt engineering across teams.</li></ul>\n<p>What We Offer</p>\n<ul><li>Remote work from India with flexibility on location.</li><li>Professional development budget and conference attendance.</li><li>Work directly with multiple portfolio companies to shape how AI scales across a holding company.</li></ul>","location":"India (Remote)","city":null,"locationType":"remote","employmentType":"full-time","seniority":"senior","salaryMin":null,"salaryMax":null,"salaryCurrency":null,"applyMethods":[{"type":"url","value":"https://jobs.ashbyhq.com/emergence/d91a1451-a6a4-46b5-9b92-04d38e0062da"}],"postedAt":"2026-07-07T07:23:52.152Z","expiresAt":"2026-08-06T00:00:00.000Z","aiInfrastructure":["MLflow","Weights & Biases"],"techStackTags":["Data pipelines","Docker","Kubernetes","MLOps","Python","SQL"],"agenticFrameworks":[],"geoRegion":"apac","countries":["IN"],"remoteScope":"country-specific","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":null,"viewCount":14,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":5,"impressionCount":235,"slug":"emergence-senior-ai-engineer-systems-and-integration-hLRYtq","isFresh":true,"featured":false},{"title":"Software Engineer, Agents","companyName":"Writer","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://writer.com&size=128","companyWebsite":"https://writer.com","description":"<p>🚀 About WRITER</p>\n<p>WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence, through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI.</p>\n<p>Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us.</p>\n<p>📐 About the role<br/>We're seeking a highly skilled fullstack software engineer to join our engineering team building advanced AI-driven agent systems that execute autonomous workflows, orchestrate multi-step tasks, and extend human capacity across enterprise applications. In this role, you'll play a key part in designing, building, and scaling next-generation AI agents that integrate with enterprise data and services to solve real-world problems. You will collaborate with cross-functional teams to turn complex agent concepts into production-ready systems.</p>\n<p>🦸🏻‍♀️ What you'll do</p>\n<ul><li>Design, implement, and maintain scalable, secure agent-driven services and systems that autonomously accomplish tasks using modern AI frameworks.</li><li>Develop and enhance robust infrastructure and high-throughput APIs, focusing on core agent capabilities such as memory, communication channels, skills, intelligent decision logic, security and workflow management.</li><li>Integrate agent capabilities with backend services, data stores, vector databases, search/retrieval systems, and external APIs.</li><li>Collaborate with product managers, AI researchers, data engineers, and UX teams to translate high-level agent use cases into robust, production-ready software.</li><li>Ensure reliability, monitoring, and observability for all agent components (metrics, logging, CI/CD, fault tolerance).</li><li>Contribute to architectural design decisions and participate in rigorous code reviews to uphold quality and maintainability.</li></ul>\n<p>⭐️ What you need</p>\n<ul><li>3+ years of professional software engineering experience with strong proficiency (3+ years) in Python in production environments.</li><li>Proficiency in native agentic coding, demonstrated through the daily use of tools like Cursor, Claude Code, and other agentic coding platforms.</li><li>Demonstrated experience building distributed systems, microservices, or complex backend APIs that support AI/agent workflows.</li><li>Solid expertise with systems that integrate AI models, agent frameworks (e.g., LangGraph, Agent Harness or platform-specific tooling), vector databases, and large context reasoning services.</li><li>Understanding of agent orchestration patterns, state management, and asynchronous workflows.</li><li>Experience with cloud platforms (AWS, GCP, Azure), containerization (Docker, Kubernetes), and operational engineering best practices.</li><li>Good grasp of performance optimization, testing frameworks, and CI/CD pipelines.</li><li>Past work on AI agents that coordinate multi-step actions, reasoning, or autonomous decision-making loops.</li><li>Contributions to open-source agent toolkits or SDKs.</li><li>Experience with frontend technologies (React, TypeScript) for tooling around agent management interfaces.</li></ul>\n<p>Benefits &amp; perks (US Full-time employees): Generous PTO plus company holidays; medical, dental, and vision coverage; 16 weeks paid parental leave; fertility and family planning support; wellness and learning stipends; competitive compensation, company stock options and 401k.</p>","location":"United States (Remote)","city":null,"locationType":"remote","employmentType":"full-time","seniority":"mid","salaryMin":111700,"salaryMax":218300,"salaryCurrency":"USD","applyMethods":[{"type":"url","value":"https://jobs.ashbyhq.com/writer/6ee2fc03-6df8-4729-9c1d-ed02636bdb9d"}],"postedAt":"2026-07-07T07:23:52.152Z","expiresAt":"2026-08-06T00:00:00.000Z","aiInfrastructure":[],"techStackTags":["APIs","AWS","Azure","Docker","GCP","Kubernetes","Microservices","Python","React","TypeScript"],"agenticFrameworks":["LangGraph"],"geoRegion":"us","countries":["US"],"remoteScope":"country-specific","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#4c4c4c","vibrant":"#7f7f7f","darkMuted":"#040404","lightMuted":"#4c4c4c","darkVibrant":"#424242","lightVibrant":"#bcbcbc"},"viewCount":32,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":9,"impressionCount":364,"slug":"writer-software-engineer-agents-6wxW0y","isFresh":true,"featured":false},{"title":"AI Product Engineer","companyName":"Vertex Inc","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://vertexinc.com&size=128","companyWebsite":"https://www.vertexinc.com","description":"<p>AI Product Engineer | Vertex Inc | Remote (USA) | $104,900-$136,400 + bonus &amp; equity</p>\n<p>Vertex is hiring an AI Product Engineer to design, build, and deliver AI-powered enterprise web applications, owning the complete product lifecycle from discovery through deployment. You'll develop domain expertise in enterprise workflows, own end-to-end AI product development, design enterprise web applications, conduct product discovery with users, create AI-native UX patterns that go beyond chat (human-in-the-loop review, decision support, workflow automation, escalation flows), and ship production-grade full-stack applications integrating generative AI/LLMs.</p>\n<h4>Required Qualifications:</h4>\n<ul><li>0-3 years in AI product engineering, full-stack engineering, or product-focused software roles.</li><li>Experience shipping end-to-end user-facing applications.</li><li>Hands-on generative AI integration into web applications.</li><li>Demonstrated product design experience.</li><li>A portfolio of apps, demos, repos, or case studies.</li></ul>\n<h4>Preferred Qualifications:</h4>\n<ul><li>AI-powered enterprise product experience.</li><li>Multi-step, non-linear product design for different user personas.</li><li>Frontend frameworks and UX tools (React, Figma).</li><li>Enterprise SaaS / internal tools, consulting, or customer-facing problem-solving experience.</li></ul>\n<p>Apply via the Vertex careers portal and email paul.chung@vertexinc.com mentioning Hacker News.</p>","location":"Remote (US)","city":null,"locationType":"remote","employmentType":"full-time","seniority":"junior","salaryMin":104900,"salaryMax":136400,"salaryCurrency":"USD","applyMethods":[{"type":"url","value":"https://vertexinc.wd1.myworkdayjobs.com/VertexInc/job/Remote-USA/AI-Product-Engineer_JR102443-1"},{"type":"email","value":"paul.chung@vertexinc.com"}],"postedAt":"2026-07-07T07:23:52.152Z","expiresAt":"2026-08-06T00:00:00.000Z","aiInfrastructure":[],"techStackTags":["Figma","React"],"agenticFrameworks":[],"geoRegion":"us","countries":["US"],"remoteScope":"country-specific","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#5c84a4","vibrant":"#6cd44c","darkMuted":"#446c8c","lightMuted":"#acbccc","darkVibrant":"#043c74","lightVibrant":"#afe79d"},"viewCount":52,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":16,"impressionCount":267,"slug":"vertex-inc-ai-product-engineer-KrrzzG","isFresh":true,"featured":false},{"title":"AI Solutions Engineer","companyName":"Next League","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://nextleague.com&size=128","companyWebsite":"https://www.nextleague.com","description":"<p>Next League is hiring an AI Solutions Engineer to design, build, and ship production AI systems for sports, entertainment, and league clients. You will work across the full lifecycle from architecture through production integration, operating as the technical lead on client engagements.</p>\n<h4>What you'll do:</h4>\n<p>AI Agent &amp; LLM Engineering</p>\n<ul><li>Build AI agents, copilots, and RAG systems using leading frameworks (LangChain, LangGraph, OpenAI Agents SDK, CrewAI).</li><li>Design tool-use patterns, function calling, and orchestration logic for multi-step agent workflows.</li><li>Develop evaluation frameworks and optimize prompts for production performance, cost, and reliability.</li></ul>\n<p>Computer Vision Engineering</p>\n<ul><li>Engineer computer vision pipelines for fan experiences.</li><li>Build content operations tooling (highlight detection, tagging, moderation).</li><li>Train and fine-tune vision models.</li></ul>\n<p>Production &amp; Integration</p>\n<ul><li>Deploy systems with monitoring, MLOps, and enterprise governance.</li><li>Integrate AI into client platforms (CRM, ticketing, content management, marketing).</li><li>Optimize for cost and reliability at scale.</li></ul>\n<p>Client Engagement</p>\n<ul><li>Translate discovery into technical solutions, act as technical lead on engagements, and communicate tradeoffs clearly. Partner with Product Managers, data scientists, and client teams.</li></ul>\n<h4>Requirements:</h4>\n<ul><li>3-5 years shipping production AI/ML systems.</li><li>Strong Python; plus TypeScript, Node.js, or Go.</li><li>Hands-on agent/RAG and computer vision experience.</li><li>LLM API experience (Claude, OpenAI, Gemini, AWS Bedrock, Azure AI Foundry).</li><li>System design fundamentals.</li></ul>\n<p>Stack: Python, TypeScript/Node.js/Go, cloud (AWS/GCP/Azure), MLOps tooling, vector databases (Pinecone, Weaviate, pgvector), video processing, AR/mobile (ARKit, ARCore, WebAR).</p>\n<p>Contract-to-hire: starts hourly at $200/hr, converts to permanent salaried.</p>","location":"New York, NY","city":"New York","locationType":"remote","employmentType":"contract","seniority":"mid","salaryMin":null,"salaryMax":null,"salaryCurrency":"USD","applyMethods":[{"type":"url","value":"https://job-boards.greenhouse.io/nextleaguellc/jobs/5137274007"}],"postedAt":"2026-07-07T07:23:52.152Z","expiresAt":"2026-08-06T00:00:00.000Z","aiInfrastructure":["AWS Bedrock","Pinecone","Weaviate","pgvector"],"techStackTags":["Go","MLOps","Node.js","Python","TypeScript"],"agenticFrameworks":["CrewAI","LangChain","LangGraph","OpenAI Agents SDK"],"geoRegion":"us","countries":["US"],"remoteScope":"country-specific","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#308f09","vibrant":"#7cf34c","darkMuted":"#3d7622","lightMuted":"#378a0e","darkVibrant":"#32601c","lightVibrant":"#7cec44"},"viewCount":42,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":18,"impressionCount":533,"slug":"next-league-ai-solutions-engineer-9MeODY","isFresh":true,"featured":false},{"title":"Platform Engineer - Generative AI","companyName":"Uncountable","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://uncountable.com&size=128","companyWebsite":"https://www.uncountable.com","description":"<p>Uncountable is looking for software engineers focused on deploying generative AI solutions, bringing advances in large language models to real-world challenges faced by scientists. You will build AI-powered search tools, visualization systems and intelligent research assistants.</p>\n<p>You will develop LLM-powered features end-to-end, handling both LLM-specific work (prompting, latency optimization, behavior tuning) and traditional fullstack development (frontend/backend coding, API design, database architecture). You will also build in-house LLM infrastructure supporting evolving product needs, including API integration, testing, observability, caching, and infrastructure for fine-tuning and inference. You'll also build next-generation UX using multimodal LLMs. The team ships frequently to users and iterates on feedback.</p>\n<p>Requirements: 2+ years of development experience, strong interest in generative AI, solid CS fundamentals. Preferred: B.S. in computer science, experience shipping generative AI software to users, and fullstack web development.</p>\n<p>Stack: Flask (Python) and Postgres on the backend; React (TypeScript), Redux, Sass on the frontend.</p>\n<p>Locations: New York, San Francisco, Munich or London. Salary $120K - $160K + Equity.</p>","location":"London, UK","city":"London","locationType":"hybrid","employmentType":"full-time","seniority":"mid","salaryMin":120000,"salaryMax":160000,"salaryCurrency":"USD","applyMethods":[{"type":"url","value":"https://jobs.ashbyhq.com/uncountable/677487ff-7923-4be1-97ab-bab17ee7f9fb"}],"postedAt":"2026-07-07T07:23:52.152Z","expiresAt":"2026-08-06T00:00:00.000Z","aiInfrastructure":[],"techStackTags":["Flask","PostgreSQL","Python","React","Redux","TypeScript"],"agenticFrameworks":[],"geoRegion":"eu","countries":["GB"],"remoteScope":"hybrid","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#777c91","vibrant":"#4c5db2","darkMuted":"#2c3454","lightMuted":"#b5b5c5","darkVibrant":"#242c54","lightVibrant":"#a2abd7"},"viewCount":8,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":2,"impressionCount":193,"slug":"uncountable-platform-engineer-generative-ai-VEPY5C","isFresh":true,"featured":false},{"title":"Staff AI Engineer","companyName":"Nelly","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://nelly-solutions.com&size=128","companyWebsite":"https://www.nelly-solutions.com","description":"<p>We celebrate diversity and encourage individuals of all genders (m/f/d) to apply.</p>\n<p>We’re on the lookout for an ambitious Staff AI Engineer to join our Engineering team at our office in Berlin. Join us in building AI products for medical practices - tackling manual processes, bureaucracy, &amp; administrative overload so doctors and staff can focus on patient care instead of paperwork. As a Staff AI Engineer, you will play a critical role in shaping Nelly’s engineering strategy and architecture for our AI products.</p>\n<p>About Nelly</p>\n<p>We are building the AI-Driven Financial Operating System for European healthcare, solving the biggest challenges for patients and practices. We create what no bank or software platform can handle. Our all-in-one platform transforms chaotic administrative processes into intelligent, automated workflows, from patient care to billing to next-generation payments. Because we truly believe: healthcare should be less about paperwork and more about people.</p>\n<p>Why? Because Europe is facing a massive shortage of medical professionals. And if we don't rethink the way practices work, the system won't be able to keep up. With our Series B funding of over €50 million from world-class investors, we are turning our vision into reality.</p>\n<p>What to expect: We work with the best team, which is why we give everything together every day. We believe in Talent Density, because exceptional people make everyone around them better. At Nelly, we move fast and expect everyone to keep up. Stagnation isn’t an option, which is why we invest heavily in growth. AI isn't a nice-to-have at Nelly. We expect you to use it every day and give you everything you need to do so. You get trust and ownership and we expect you to speak up, even when it's uncomfortable.</p>\n<p>Joining us, you will</p>\n<ul><li>Embrace a fast-paced, agile environment where outcome and quick progress is achieved through experimentation and rapid iteration.</li><li>Define and drive AI strategy across multiple teams and engineering-wide initiatives.</li><li>Architect and lead the development of backend-first agentic products</li><li>Drive technical discovery, exploring and evaluating emerging AI technologies, building POCs for new products and ideas and turning them into real products</li><li>Lead cultural changes and set the standard for engineering impact, speed, and quality</li><li>Remain hands-on - whether writing foundational code, leading design reviews, or refactoring key systems</li><li>Define and champion engineering excellence</li><li>Mentor engineers - both AI engineers and other developers interested building AI products.</li></ul>\n<p>be a trusted advisor to leadership.</p>\n<p>What you will bring</p>\n<ul><li>A technical leader (typically 8+ years of experience) with a track record of multi-team or org-level impact</li><li>An impact focused mindset</li><li>Experienced in enterprise-scale systems and multi-team architecture leadership</li><li>Technical leadership mindset with high agency and an impact focus who can provide strategic vision and dive deep into the technical details</li><li>Experience designing, building, scaling, and maintaining backend systems in production</li><li>Experience exploring, evaluating, and experimenting on, AI/ML based products in production</li><li>Experience with the challenge of building GenAI based products, such as creating guardrails and online evaluation to create a reliable ,secure, and safe system.</li><li>Strong AI/ML fundamentals with hands-on experience in model evaluation, AB testing, and monitoring stochastic systems</li><li>Excellent communication skills in English with ability to articulate complex technical concepts to diverse audiences.</li></ul>\n<p>What we offer</p>\n<ul><li>BVG ticket or Swapfiets membership, so you get around the city fast</li><li>Urban Sports Club membership, for sport and balance</li><li>Flexible working hours and a hybrid setup</li><li>Up to 4 weeks of workation</li><li>A dog-friendly office with great vibes and a team that's fun to work with</li><li>Snacks and a fridge full of cold drinks</li></ul>\n<p>We celebrate diversity and welcome individuals of all genders (m/f/d) to apply — and because we know confidence gaps and impostor syndrome can get in the way, please don’t hesitate even if you don’t meet every single criterion; if you’re exceptional, tell us why, and we’d genuinely love to hear from you.</p>","location":"Berlin, Germany","city":"Berlin","locationType":"hybrid","employmentType":"full-time","seniority":"staff","salaryMin":null,"salaryMax":null,"salaryCurrency":null,"applyMethods":[{"type":"url","value":"https://jobs.ashbyhq.com/nelly/96f4b6f9-1855-46e0-a4fe-a692bd38994d"}],"postedAt":"2026-07-07T07:23:52.152Z","expiresAt":"2026-08-06T00:00:00.000Z","aiInfrastructure":[],"techStackTags":["AWS","GCP","Python"],"agenticFrameworks":[],"geoRegion":"eu","countries":["DE"],"remoteScope":"hybrid","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#7c9474","vibrant":"#91b24c","darkMuted":"#2c4028","lightMuted":"#b6ccac","darkVibrant":"#4b5c27","lightVibrant":"#e4ecd3"},"viewCount":15,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":4,"impressionCount":207,"slug":"nelly-staff-ai-engineer-HnRXqk","isFresh":true,"featured":false},{"title":"Senior AI Engineer","companyName":"Paytm","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://paytm.com&size=128","companyWebsite":"https://paytm.com","description":"<p>About the role<br/>There’s a wide gap between an agent that works in a demo and one that works across millions of live transactions.  Closing it is the job.  You’ll embed with the teams and customers who depend on AI — risk, fraud, collections, payments, support, developer experience — and design, build, and ship agentic systems into their production environments.  You’ll also help build the platform underneath: Paytm’s AI inference platform (Pi) and the agentic runtime, orchestration, and tooling that lets agents reason, plan, use tools, and run multi-step workflows safely.</p>\n<p>Why join?<br/>Be among the first to define how agentic AI ships across a company running payments and credit at massive scale — with direct line of sight from your work to the outcome, and broad ownership across both the platform and the field.</p>\n<p>Go Big or Go Home!</p>\n<p>Paytm Labs believes in diversity and equal opportunity and we will not tolerate any forms of discrimination or harassment.  Our people are critical to our success and we know the more inclusive we are, the better our work will be.<br/>We thank all applicants, however, only those selected for an interview will be contacted.<br/>Paytm Labs is committed to meeting the accessibility needs of all individuals in accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code (OHRC). Should you require accommodations during the recruitment and selection process, please let us know.</p>\n<p>What you’ll do<br/>Embed &amp;amp; deployTackle greenfield problems alongside internal teams and customers — scope ambiguous needs and build agents from scratch that fit how they actually work.Own deployments end-to-end: discovery, build, integration, activation, and the tuning that earns trust and adoption.Lead pilots and demos, drive adoption, and clear blockers before they stall a rollout.Build agentic systemsArchitect agentic systems — reasoning, planning, tool use, memory, multi-agent coordination — that run real workflows with guardrails.Build safe tool-use infrastructure across APIs, databases, and services, with permissioning, sandboxing, and human-in-the-loop.Ship SDKs, patterns, and reusable blueprints so internal teams build and deploy agents fast.Make it reliableDesign and run rigorous evals: measure quality, catch regressions, and feed results back into the system.Build observability, tracing, and guardrails that prove agents are safe and keep them safe as models and data drift.Own the multi-model inference your agents depend on (text, voice, code, vision) — latency, throughput, and cost.LeadSet technical direction and standards for agentic systems; mentor engineers and partner with ML, product, and security.</p>\n<p>What you’ll bring<br/>5+ years in software engineering, with 3+ in AI systems or LLM applications, and production systems shipped end-to-end.Strong grasp of LLM agent architectures (ReAct, RAG, tool use, multi-agent) and hands-on agentic orchestration and evaluation.Proficiency in Python across a broad stack — pipeline, agent, service, and instrumentation.Production experience on AWS and Azure with containerized deployments (Docker, Kubernetes).Strong customer and stakeholder instincts; able to impose structure on ambiguity and push back when needed.A bias toward shipping and comfort operating without a clean spec.Solid understanding of agentic security risks (prompt injection, privilege escalation, data leakage).Strong written and verbal communication.</p>\n<p>Nice to have<br/>Agentic systems in regulated industries (fintech, payments, credit, healthcare).Cloud AI/ML services (AWS SageMaker / Bedrock, Azure ML / Azure OpenAI); multi-cloud or hybrid.MCP or agent communication standards; agent evaluation and observability tooling.Model serving (vLLM, TensorRT-LLM, Triton), fine-tuning, quantization, or LoRA.Workflow orchestration (Temporal, Airflow, Prefect) for AI workloads; voice / multimodal / edge inference.Testing and verification for non-deterministic AI systems.</p>","location":"Toronto, Canada","city":"Toronto","locationType":"hybrid","employmentType":"full-time","seniority":"senior","salaryMin":null,"salaryMax":null,"salaryCurrency":null,"applyMethods":[{"type":"url","value":"https://jobs.lever.co/paytm/3e497903-1076-45f2-87f6-bf451644327a"}],"postedAt":"2026-07-07T07:23:52.151Z","expiresAt":"2026-08-06T00:00:00.000Z","aiInfrastructure":["AWS Bedrock","Azure OpenAI","MCP"],"techStackTags":["AWS","Azure","Docker","Kubernetes","Python","RAG","Temporal","agents","evals"],"agenticFrameworks":[],"geoRegion":"us","countries":["CA"],"remoteScope":"hybrid","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#5c7ca4","vibrant":"#09bcf4","darkMuted":"#053893","lightMuted":"#acb4cc","darkVibrant":"#042c74","lightVibrant":"#5cd4fc"},"viewCount":7,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":0,"impressionCount":160,"slug":"paytm-senior-ai-engineer-uHDuGJ","isFresh":true,"featured":false},{"title":"AI Engineer (Agents)","companyName":"Sana","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://sanalabs.com&size=128","companyWebsite":"https://sanalabs.com","description":"<p>ABOUT SANA</p>\n<p>Sana is an AI lab building superintelligence for work. We believe organizations can accomplish their missions faster when teams can effortlessly access knowledge, automate repetitive work, and learn anything with the help of agentic AI. As part of Workday, we are committed to building AI that augments people - not replaces them.</p>\n<p>We bring this mission to life through two products. Sana Agents provide a seamless way to access all your company’s apps, knowledge, and data, enabling AI agents to do real work so teams can process and act on information at unprecedented scale. Sana Learn is an AI-powered learning hub that combines the simplicity of a modern learning platform with intelligent features like an AI tutor, automated content generation, and interactive apps, making knowledge not just accessible but actionable.</p>\n<p>We’re a talent-dense, product-obsessed team of engineers and designers from companies like Google, Spotify, Apple, and Databricks, united by deep technical excellence and rapid iteration. Our tools already help over a million people learn and work better across hundreds of leading enterprises - and we’re just getting started.</p>\n<p>ABOUT THE ROLE</p>\n<p>You'll build the core agent infrastructure that powers Sana's mission to bring superintelligence to work. This is a greenfield opportunity to define how AI agents plan, reason, and execute across enterprise environments—building systems that reliably handle real-world complexity at scale. You'll work at the intersection of agent architecture, context-, tool- and prompt engineering, and production infrastructure.</p>\n<p>IN THIS ROLE, YOU WILL</p>\n<ul><li>Architect multi-step planning, orchestration, and tool routing for agents</li><li>Implement code generation agents and sandboxed code execution</li><li>Engineer memory, state, and context packing/grounding strategies</li><li>Balance latency, quality, and cost controls for agent execution</li><li>Develop safe fallbacks, graceful degradation and robust error handling</li><li>Collaborate with platform and search teams to deliver reusable agent infrastructure</li><li>Establish safety guarantees and measurable quality improvements</li></ul>\n<p>WHAT SUCCESS LOOKS LIKE</p>\n<ul><li>Agent architectures are robust, reliable, and enterprise-ready</li><li>Context and tool engineering enables agents to act intelligently, at scale</li><li>Clear metrics, automated evaluation, and continuous improvement in agent capabilities</li><li>Quality and safety are measurable and continuously improving</li><li>Durable building blocks accelerate product teams and unlock new capabilities</li></ul>\n<p>OUR TECH STACK</p>\n<p>We build on a simple modern stack optimized for both humans and AI.</p>\n<ul><li>Backend: TypeScript, Kotlin, Node.js</li><li>Frontend: TypeScript, React, Tailwind</li><li>Databases: Postgres, Redis</li><li>Cloud infra: GCP/Kubernetes/Terraform</li></ul>\n<p>WHAT WE OFFER</p>\n<ul><li>Help shape AI's future alongside brilliant minds from Google, Apple, Spotify, Notion, Slack, Databricks, and BCG.</li><li>Competitive salary complemented with a competitive RSU program.</li><li>Swift professional growth in an evolving environment, supported by a culture of continuous feedback and mentorship from senior leaders.</li><li>Work with talented teammates across 5+ countries, and global customers, from our beautiful office in Stockholm.</li></ul>","location":"Stockholm, Sweden","city":"Stockholm","locationType":"onsite","employmentType":"full-time","seniority":"senior","salaryMin":null,"salaryMax":null,"salaryCurrency":null,"applyMethods":[{"type":"url","value":"https://jobs.ashbyhq.com/sana-roles/d3b49a65-86b3-4608-a2d3-047ea76dfcc5"}],"postedAt":"2026-07-07T07:23:52.151Z","expiresAt":"2026-08-06T00:00:00.000Z","aiInfrastructure":[],"techStackTags":["GCP","Kotlin","Kubernetes","Node.js","PostgreSQL","React","Redis","Tailwind CSS","Terraform","TypeScript"],"agenticFrameworks":[],"geoRegion":"eu","countries":["SE"],"remoteScope":"onsite","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#646464","vibrant":"#7f7f7f","darkMuted":"#343434","lightMuted":"#f4f4f4","darkVibrant":"#424242","lightVibrant":"#bcbcbc"},"viewCount":0,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":0,"impressionCount":150,"slug":"sana-ai-engineer-agents-x2oJPI","isFresh":true,"featured":false},{"title":"Agentic Harness Engineer","companyName":"DeepJudge","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://deepjudge.ai&size=128","companyWebsite":"https://www.deepjudge.ai","description":"<h4>About us:</h4>\n<p>Founded by former Google search engineers with PhDs in AI from ETH Zurich, DeepJudge helps legal teams unlock and apply the knowledge inside their organizations through world-class enterprise search and AI infrastructure – enabling them to automate workflows, build knowledge-powered applications, and turn institutional knowledge into a lasting advantage.</p>\n<p>Every organization can license the same AI models, but no two organizations share the same institutional knowledge. Decades of experience, work product, and precedent are often fragmented across systems, underused, and inaccessible. DeepJudge makes this expertise instantly available and actionable – helping legal teams find the right information faster, surface relevant knowledge, and apply it where it matters most.</p>\n<p>Our platform is trusted by many of the world’s leading law firms and legal teams, including Holland &amp; Knight, Gunderson Dettmer, Cozen O’Connor, ArentFox Schiff, CMS Switzerland, Schoenherr, and others.</p>\n<p>Headquartered in Switzerland with a growing team across North America and Europe, DeepJudge is shaping the future of how professional knowledge is discovered and applied.</p>\n<p>At DeepJudge, we move with urgency, think rigorously, and work closely with our clients to build products that solve meaningful problems. If you want to help define how AI transforms professional knowledge work, we’d love to hear from you.</p>\n<h4>About the role:</h4>\n<p>Agentic harness is the backbone of our product - it transforms powerful models into reliable enterprise-grade applications our customers can trust. You’ll join a stellar engineering team and will be responsible for the quality of our agents across applied use cases: developing the harness, crafting system prompts to optimize performance of frontier models, and building evaluation systems that keep a continuous pulse on the reliability and robustness of our features. This is a mission-critical role where your decisions compound directly into what our customers experience every day. If you believe that evals are a first-class engineering discipline - not an afterthought - and you want to own the stack that makes AI actually work in the real world, this is your seat.</p>\n<h4>Your responsibilities will include:</h4>\n<ul><li>Owning the agentic harness powering critical features across DeepJudge</li><li>Building and running the evals end-to-end, from design to instrumentation to continuous monitoring</li><li>Improving agent quality through both code (harness) changes and prompting</li><li>Influencing our model and launch decisions from the agent quality standpoint</li><li>Working closely with Legal Engineering, Product, and Customer Success to shape and prioritize harness improvements</li><li>Stay current on LLM, GenAI, and agentic AI trends and incorporate those insights into best practices</li></ul>\n<h4>You're a great fit if you:</h4>\n<ul><li>Have a Master’s degree in Computer Science or a related field, or equivalent practical experience</li><li>Are proficient in one or more backend programming languages such as Python, Rust, Go, or C++</li><li>Know how to evaluate agentic systems and design meaningful eval frameworks</li><li>Have a strong interest in the latest trends in GenAI and frontier models</li><li>Like to build things from scratch without hand-holding</li><li>Have built a large application based on LLMs before</li><li>(Nice to have) Experience with agentic SDKs</li><li>(Nice to have) Familiarity with the evaluation of LLM-based systems</li></ul>\n<h4>What you can look forward to:</h4>\n<ul><li>Ownership and ability to impact the company, product, and culture from day 1</li><li>Front seat in one of the hottest verticals in AI</li><li>Location: Office 5min walking distance from Zurich central station, where we primarily work on site</li><li>Collaborative and supportive work environment</li><li>Potential for professional growth and advancement within the company</li></ul>\n<p>At DeepJudge, we believe great teams are built on diverse perspectives and experiences. We are proud to be an equal opportunity employer and are committed to fostering an inclusive, high-performance culture where everyone can thrive. We welcome applicants of all backgrounds and do not discriminate based on race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, disability, veteran status, or any other characteristic protected by law.</p>\n<p>If this role excites you, but you feel you don’t meet every qualification, we encourage you to apply anyway and tell us why you’d be a great fit.</p>","location":"Zurich, Switzerland","city":"Zurich","locationType":"onsite","employmentType":"full-time","seniority":"senior","salaryMin":null,"salaryMax":null,"salaryCurrency":null,"applyMethods":[{"type":"url","value":"https://jobs.ashbyhq.com/deepjudge/fc701490-8ef8-4111-9fd7-3a4b8c97708c"}],"postedAt":"2026-07-07T07:23:52.151Z","expiresAt":"2026-08-06T00:00:00.000Z","aiInfrastructure":[],"techStackTags":["C++","Go","Python","Rust","evals"],"agenticFrameworks":[],"geoRegion":"eu","countries":["CH"],"remoteScope":"onsite","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#94948c","vibrant":"#82827c","darkMuted":"#3c3c34","lightMuted":"#bcbcb9","darkVibrant":"#434340","lightVibrant":"#bebebb"},"viewCount":4,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":0,"impressionCount":140,"slug":"deepjudge-agentic-harness-engineer-oY0gK2","isFresh":true,"featured":false},{"title":"Software Engineer (AI Focus)","companyName":"Legora","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://legora.com&size=128","companyWebsite":"https://legora.com","description":"<p>ABOUT US</p>\n<p>Legora is redefining how legal work gets done. Not built for lawyers, built with them. We work alongside the world’s best legal teams, who expect excellence, precision, and speed, and we hold ourselves to the same bar.</p>\n<p>Our AI-native workspace lets legal professionals move faster, think more clearly, and operate with sharper precision. By analysing thousands of documents in minutes and powering end-to-end workflows, we cut through complexity, teams can focus on what matters: judgment, strategy, and outcomes.</p>\n<p>1,000+ customers across 50+ countries trust us, including Cleary Gottlieb, Goodwin, Linklaters, White &amp; Case, Dentons, and Barclays. We’ve scaled to $100M+ in ARR, with teams across Europe, North America and APAC, and continue to expand through acquisitions including Qura, Walter AI and Graceview.</p>\n<p>We partner with world-class performers: including Aaron Judge and the New York Yankees, Ludvig Åberg (and his caddie), and campaigns featuring Jude Law.</p>\n<p>Joining Legora means three things.</p>\n<ul><li>We lean in: ownership over titles, outcomes over intentions.</li><li>We fight for excellence: high standards, direct, ego-free feedback.</li><li>We grow together: as a team and with our customers.</li></ul>\n<p>Mission before ego. Everyone contributes. No one coasts.</p>\n<p>If you’re driven by impact, pace, and raising the bar. This is the place.</p>\n<p>The role</p>\n<p>Are you ready to take your AI career to the next level? At Legora, we’re on a mission to revolutionize the legal industry with cutting-edge AI and LLM tech. We’re seeking software engineers to join our fast-moving team, where you’ll work on technically difficult projects with the support of an amazing team, and help redefine how legal professionals work.</p>\n<p>*This is a Stockholm-based, 5-day in-office role, we believe building together in person drives better outcomes.</p>\n<h4>What you will be doing:</h4>\n<ul><li>Architect and implement all AI and LLM features end-to-end for our web platform</li><li>Ensure we utilize the latest and greatest LLM features, agentic tools etc</li><li>Work with technologies such as React, Node.js, AWS, Azure and Kubernetes</li><li>Take ownership of our codebase, balancing high-quality code, security and speed of development</li><li>Own and drive forward PoCs and solve broad technical challenges</li></ul>\n<p>Who you are</p>\n<ul><li>A passionate software engineer with a few years of experience implementing and evaluating AI and LLM applications</li><li>A strong coder</li><li>Proficient in languages like TypeScript, Node.JS, with an emphasis on clean, efficient, and maintainable code</li><li>You’re autonomous and take pride in the systems you architect</li><li>You’re a low ego, true team player</li><li>You’re a problem solver who’s not afraid to come up with creative solutions and think holistically about applied AI</li></ul>\n<p>Legora is an Equal Opportunity Employer</p>\n<p>At Legora, we believe great teams are built on diversity of thought and experience. We’re proud to be an equal opportunity employer and committed to creating an inclusive, high-performance culture where everyone can do their best work. We welcome people of all backgrounds and don’t discriminate based on race, color, religion, national origin, gender, gender identity or expression, sexual orientation, age, disability, veteran status, or any other characteristic protected by law.</p>","location":"Stockholm, Sweden","city":"Stockholm","locationType":"onsite","employmentType":"full-time","seniority":"mid","salaryMin":null,"salaryMax":null,"salaryCurrency":null,"applyMethods":[{"type":"url","value":"https://jobs.ashbyhq.com/legora/f81a4b5e-7ef3-4946-a147-f6c0645e98ca"}],"postedAt":"2026-07-07T07:23:52.151Z","expiresAt":"2026-08-06T00:00:00.000Z","aiInfrastructure":[],"techStackTags":["AWS","Azure","Kubernetes","Node.js","React","TypeScript"],"agenticFrameworks":[],"geoRegion":"eu","countries":["SE"],"remoteScope":"onsite","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#6a947c","vibrant":"#347454","darkMuted":"#0c8c56","lightMuted":"#b6ccbc","darkVibrant":"#085736","lightVibrant":"#a3d5bc"},"viewCount":5,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":0,"impressionCount":173,"slug":"legora-software-engineer-ai-focus-dO-saf","isFresh":true,"featured":false},{"title":"Senior AI Engineer","companyName":"Ro","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://ro.co&size=128","companyWebsite":"https://ro.co","description":"<p>Join Tech @ Ro to build the future of healthcare, from the ground up!<br/>At Ro, we believe that when people achieve their health goals, they can achieve their life goals. The highest-leverage way to move society forward is to give people their health, and the current healthcare system isn’t built to do that. It was built to bill, not to serve patients.<br/>We’re building a new system. One where the patient is in control. One designed from scratch for the digital age.<br/>At Ro, technology isn’t just a function… It's core to how we deliver care. We’ve built a vertically integrated healthcare platform that connects telehealth, diagnostics, pharmacy, and logistics into a seamless, end-to-end experience for millions of patients.<br/>…and we’re just getting started.</p>\n<h4>As part of Tech @ Ro, you’ll work on systems that operate at scale, with an opportunity to:</h4>\n<p>Solve complex, high-concurrency problems across a full-stack platform<br/>Build and ship quickly with tight feedback loops and real-world impact<br/>Own systems end-to-end, from architecture to production performance<br/>Work alongside experienced operators, technical leaders, and clinicians<br/>Help define how modern healthcare should be delivered<br/>We’re a performance-driven team with a strong sense of ownership and urgency. We move fast, learn quickly, and hold a high bar for what we build, and do so with a big heart — because patients depend on it.<br/>If you’re motivated by impact, scale, and the chance to help lead the patient revolution, come build with us.</p>\n<p>The Role<br/>Ro is building a team focused on shipping LLM-powered products across the patient experience, clinical operations, and internal tooling.</p>\n<p>We're hiring a Senior AI Engineer to join a new team we’re building from the ground up alongside a Senior AI Lead and an Engineering Manager. You'll own AI features from prototype through production and spend as much time improving workflows with clinical operators as writing code. Most of your work will involve building orchestration layers, prompts, evaluations, retrieval systems, and tooling that make LLMs reliable enough for real-world healthcare operations.</p>\n<p>A note on reporting structure<br/>This is a new function at Ro, and we're being deliberate about not over-defining it. Your manager and where you sit on the org chart will depend on the specific shape of the team we end up with. We'd rather find the right people and figure out the lines around them than pre-draw boxes and miss great candidates. If that ambiguity is a deal-breaker, this isn't the right role; if it sounds like an opportunity, we want to talk.<br/>-</p>\n<p>The target base salary for this position ranges from $182,300 to $220,000, in addition to a competitive equity and benefits package (as applicable). When determining compensation, we analyze and carefully consider several factors, including location, job-related knowledge, skills and experience. These considerations may cause your compensation to vary.</p>\n<p>Ro is consistently recognized as a top workplace in Health Care, in New York, and for Women and Parents—earning more than 20 honors from Fortune, Great Place to Work, and PEOPLE since 2021. In 2025 alone, we ranked top 5 among medium workplaces in Health Care and New York, and top 50 nationwide.</p>\n<p>At Ro, we believe that our diverse perspectives are our biggest strengths — and that embracing them will create real change in healthcare. As an equal opportunity employer, we provide equal opportunity in all aspects of employment, including recruiting, hiring, compensation, training and promotion, termination, and any other terms and conditions of employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, familial status, age, disability and/or any other legally protected classification protected by federal, state, or local law.</p>\n<p>Ro is committed to providing reasonable accommodations for qualified individuals with disabilities in our application and interview process. If you require a reasonable accommodation in the application or interview process, please contact us at talent@ro.co.</p>\n<p>See our California Privacy Policy here.</p>\n<p>What You'll Do</p>\n<p>Design, build, and ship production LLM powered features end-to-end.&amp;nbsp;<br/>Build the AI application layer, including prompt orchestration, tool calling, retrieval (RAG), embeddings, agent workflows, and structured outputs.<br/>Develop evaluation infrastructure, including regression suites, LLM-as-a-judge evaluations, synthetic datasets, human review workflows, and quality metrics that catch regressions before users do.<br/>Design observability systems that measure accuracy, latency, cost, hallucination rates, and model behavior in production.<br/>Build safety and reliability guardrails that ensure AI systems meet quality, compliance, and operational requirements.<br/>Evaluate and integrate third-party tools, including orchestration frameworks, evaluation platforms, vector databases, and model providers; and make pragmatic build-versus-buy decisions.<br/>Raise engineering standards across the team through technical leadership, code reviews, mentorship, and thoughtful system design.<br/>Sit with EHR operators, Patient Advocates, and clinical teams to understand the workflows you're automating.<br/>Prototype quickly, ship early, measure outcomes, and iterate based on real-world usage.</p>\n<p>What You’ll Bring to the Team</p>\n<p>5+ years building production software, with at least 1–2 years building and deploying LLM-powered applications in production (or equivalent depth through substantial side projects or open-source work).<br/>Strong Python engineer with experience building backend services and integrating modern AI APIs and frameworks.<br/>Comfortable using AI-assisted development tools throughout the software development lifecycle.<br/>You've shipped AI features that served real users, and you can clearly articulate how you measured quality, reliability, latency, cost, and business impact.<br/>You have strong product instincts and thrive in ambiguous environments, translating operational problems into technical solutions without relying on detailed specifications.<br/>Bonus: Experience with orchestration frameworks (LangChain, LangGraph, AgentCore), RAG architectures, vector databases, prompt/version management, and evaluation or observability platforms (e.g., LangSmith, Braintrust, Arize Phoenix).</p>","location":"New York, NY","city":"New York","locationType":"hybrid","employmentType":"full-time","seniority":"senior","salaryMin":null,"salaryMax":null,"salaryCurrency":null,"applyMethods":[{"type":"url","value":"https://jobs.lever.co/ro/81dd41da-ba24-435b-83c4-bd19a312744b"}],"postedAt":"2026-07-07T07:23:52.151Z","expiresAt":"2026-08-06T00:00:00.000Z","aiInfrastructure":["LangSmith"],"techStackTags":["LLM","RAG","agents","evals","orchestration"],"agenticFrameworks":["Agno","LangChain","LangGraph"],"geoRegion":"us","countries":["US"],"remoteScope":"hybrid","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#797979","vibrant":"#7f7f7f","darkMuted":"#3c3c3c","lightMuted":"#c0c0c0","darkVibrant":"#424242","lightVibrant":"#bcbcbc"},"viewCount":12,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":6,"impressionCount":357,"slug":"ro-senior-ai-engineer-JPScs3","isFresh":true,"featured":false},{"title":"Senior Software Engineer (AI Applications)","companyName":"Cambium Assessment","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://cambiumassessment.com&size=128","companyWebsite":"https://www.cambiumassessment.com","description":"<p>&lt;meta name=\"description\" content=\"Job OverviewAre you driven to build innovative, intelligent systems that fundamentally change how people learn? Join our team of engineers and researchers at the forefront of educational technology to design and deploy the next generation of AI-powered solutions.Cambium Assessment Inc is a leading education technology firm with a growing software engineering and product development team. We design and build online assessment systems that are used by millions of students providing actionable insights for educators grounded in scientific theory.We are seeking a Lead/Senior Software Engineer (AI Applications) to own the architecture and implementation of reliable and responsible agent orchestration systems. In this high-impact, individual contributor role, you will be instrumental in designing autonomous AI agents, integrating advanced generative capabilities into our core products, and establishing the technical foundation for our AI-driven future. You will be a key technical leader, driving best practices, mentoring peers, and ensuring our AI systems are scalable, safe, and trustworthy.Job Responsibilities:Agent Architecture &amp; Implementation: Design, build, and deploy robust Generative AI agents featuring advanced capabilities like persistent memory, shared state management, and complex multi-step reasoning workflows specifically tailored for real-world educational applications.Product Innovation: Drive the development of cutting-edge, AI-enabled web based educational software systems that redefine user interaction and learning outcomes.Generative AI Integration: Seamlessly incorporate Generative AI features into existing platforms, focusing on optimizing performance, ensuring a seamless UX, and maintaining strict safety compliance.Intelligent System Leverage: Expertly leverage Large Language Models (LLMs) and multimodal models to deliver highly intelligent, context-aware user experiences.Agent Quality &amp; Evaluation: Establish and maintain frameworks for comprehensive agent evaluation, including rigorous testing, critical safety assessments, and detailed performance monitoring.Cross-Functional Leadership: Partner closely with other teams to translate complex user needs and learning workflows into scalable, production-ready agentic capabilities.Technical Mentorship: Act as a subject matter expert, guiding engineers on advanced agent design patterns, optimal LLM integration strategies, and best practices for building secure, autonomous systems.Mission Alignment: Contribute to a mission-driven environment focused on innovation, measurable impact, and the ethical, responsible development and deployment of AI enabled products.Job Requirements:Experience: 5+ years in software engineering, including 2+ years in a Senior/Staff-level capacity leading significant technical initiatives.Agentic Systems Mastery: Proven, hands-on experience building complex agentic systems, including proficiency with tool calling, advanced prompt optimization, and comprehensive context engineering.LLM Integration &amp; Backend: Deep, practical experience integrating with LLMs, coupled with strong skills in prompt engineering and Retrieval-Augmented Generation (RAG) pipelines.Programming Proficiency: Strong expertise in at least two of the following programming languages: Python, JavaScript/TypeScript, or C#.Cloud Platform Experience: Experience deploying and managing systems on at least one of the major cloud platforms (AWS, GCP, or Azure), utilizing containerization and implementing robust observability tooling.Web Application and API Development: Proven experience building and deploying robust, high-throughput full stack solutions including backend services/APIs that integrate with AI models and orchestrate complex workflows. Vector Databases: Familiarity with vector databases and embedding models.Security Focus: Demonstrated experience designing secure systems capable of safely handling untrusted code execution or complex user-generated content.Soft Skills: Excellent communication, collaboration skills, and the ability to autonomously drive technical initiatives from initial prototype through to high-scale production.Nice to Have:Experience with AI Agent evaluation frameworks.Familiarity with scalable inference pipelines.Familiarity with open tool protocols (e.g., MCP, A2A), browser automation etc.Prior work in EdTech.Familiarity with AWS Bedrock and Strands AgentsWhy Work With Us?When you work with Cambium Assessment, you’ll be helping to design and build inspiring solutions that make a real impact on the online testing industry, as well as the educators and students we support.Our systems are highly scaled and mission critical serving over a third of all students in grades 3-8 in the United States.Our web applications are highly interactive and universally accessible.Our machine scoring methods are driven by artificial intelligence allowing computers to perform such complex operations as grading essays with more accuracy than humans.Our processes use intensive algorithmic computing allowing a customized experience for each student as the exam adapts real-time based upon answers given.In the 2024 school year, we delivered more than 126 million online tests, and successfully supported peak testing volumes exceeding 1.5 million simultaneous test takers. We have the most advanced features of any online testing system, and we continue to push boundaries to improve student performance measurement and enabling educators with actionable insights to drive better overall educational outcomes for our students. To learn more about our organization and the exciting work we do, visit www.cambiumassessment.com.Remote First Work EnvironmentOur Remote First approach gives employees the flexibility and trust they need to effectively balance work with life. It creates a culture in which all employees are valued and where success is measured in results.</p>","location":"Remote (US)","city":null,"locationType":"remote","employmentType":"full-time","seniority":"senior","salaryMin":140000,"salaryMax":170000,"salaryCurrency":"USD","applyMethods":[{"type":"url","value":"https://jobs.cambiumlearning.com/jobs/product-engineering/remote/senior-software-engineer-ai-applications-/REQ-4328"}],"postedAt":"2026-07-07T07:23:52.151Z","expiresAt":"2026-08-06T00:00:00.000Z","aiInfrastructure":["AWS Bedrock"],"techStackTags":["AWS","C#","JavaScript","Python","RAG","TypeScript","agents","vector database"],"agenticFrameworks":[],"geoRegion":"us","countries":["US"],"remoteScope":"country-specific","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":null,"viewCount":3,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":0,"impressionCount":218,"slug":"cambium-assessment-senior-software-engineer-ai-applications-iCOKtq","isFresh":true,"featured":false},{"title":"Software Engineer, Agents","companyName":"Sim","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://sim.ai&size=128","companyWebsite":"https://sim.ai","description":"<p>ABOUT THE ROLE</p>\n<p>You'll own end-to-end development of our core agentic workflow engine and Copilot — the AI assistant that helps developers build and debug workflows using natural language, turning high-level intent into executable, reliable agents. This spans our backend (Next.js), orchestration layer, and all integrations with LLMs and external APIs.</p>\n<p>Copilot is currently the best-in-class tool for building workflows with natural language. Your job is to keep it there and push it further — making it faster, more reliable, and capable of handling increasingly complex agentic architectures.</p>\n<p>This is a foundational role. You'll set architecture decisions, reliability standards, and coding patterns that define how the core product works. On a team of 5, your work ships to tens of thousands of developers on fast release cycles.</p>\n<p>WHAT YOU'LL DO</p>\n<ul><li>Own the agentic workflow engine: the runtime that executes multi-step, tool-using agent workflows in production</li><li>Build and evolve Copilot — our natural language interface for creating, editing, and debugging workflows</li><li>Design and maintain integrations with LLM providers (OpenAI, Anthropic, Google, local models via Ollama) and external APIs</li><li>Architect the orchestration layer that turns visual flows into reliable, observable agent executions</li><li>Set technical standards for the codebase — reliability, testing, code quality, and architecture patterns</li><li>Work across the stack in our Next.js monorepo, shipping to production daily</li><li>Debug hard problems at the intersection of LLMs, distributed systems, and developer tooling</li></ul>\n<p>WHAT WE'RE LOOKING FOR</p>\n<ul><li>Strong generalist engineer who has shipped complex distributed systems or developer tools to production</li><li>Deep experience with TypeScript/JavaScript and Bun; comfort working in a Next.js monorepo</li><li>Track record of owning and operating production systems — you've been paged, you've debugged the weird ones, you've made things reliable</li><li>Experience integrating with LLMs or building on top of foundation model APIs</li><li>High agency and ownership — on a team this small, you define the roadmap as much as you execute it</li><li>Strong opinions on architecture, loosely held — you care about building things right but move fast</li><li>Experience with AWS infrastructure is a plus</li><li>Contributions to open-source projects are a plus</li></ul>\n<p>WHY SIM</p>\n<ul><li>Foundational impact. You're not joining a team — you're building one. Every decision you make shapes the product and the company.</li><li>Real users, real scale. 70,000+ developers use Sim today. Your work ships fast and matters immediately.</li><li>World-class backers. Series A - Standard Capital, Paul Graham, Perplexity, SV Angel, and Y Combinator believe in what we're building.</li><li>Open source at the core. We've been open source from day one and we're proud of it. 26,000+ GitHub stars and growing.</li><li>Competitive salary + meaningful equity. Early team, significant ownership.</li><li>Full benefits. Comprehensive health insurance, relocation.</li><li>Visa sponsorship available.</li></ul>\n<p>EQUAL OPPORTUNITY</p>\n<p>Sim is committed to creating an inclusive environment for all employees. We celebrate diversity and are committed to creating an inclusive environment for all team members. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.</p>","location":"San Francisco, California, United States","city":"San Francisco","locationType":"onsite","employmentType":"full-time","seniority":"mid","salaryMin":140000,"salaryMax":220000,"salaryCurrency":"USD","applyMethods":[{"type":"url","value":"https://jobs.ashbyhq.com/sim/c04eccb8-cbd8-4dc7-8299-b1f4c8aa1225"}],"postedAt":"2026-07-07T07:23:52.151Z","expiresAt":"2026-08-06T00:00:00.000Z","aiInfrastructure":["Anthropic","Ollama","OpenAI API"],"techStackTags":["CRDTs","Next.js","TypeScript","WebSockets"],"agenticFrameworks":[],"geoRegion":"us","countries":["US"],"remoteScope":"onsite","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#270296","vibrant":"#6c3cfc","darkMuted":"#270296","lightMuted":"#290395","darkVibrant":"#220282","lightVibrant":"#a586fc"},"viewCount":6,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":1,"impressionCount":177,"slug":"sim-software-engineer-agents-2HzSfw","isFresh":true,"featured":false},{"title":"Senior Software Engineer, AI for the Planet","companyName":"Ai2 (Allen Institute for AI)","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://allenai.org&size=128","companyWebsite":"https://allenai.org","description":"<p>Persons in these roles are expected to work from our offices in Seattle. On-site requirements vary based on position and team. If you have questions about on-site work arrangements for this role, please ask your recruiter.<br/>Our base salary range is $126,000 - $189,000 and in addition we have generous bonus plans to provide a competitive compensation package.</p>\n<h4>Who We Are:</h4>\n<p>We are a small engineering team at the Allen Institute for AI working on AI for the Planet. We're working on maritime conservation, food security, disaster resilience, and climate solutions with some of the most impactful organizations on the planet. We work very closely alongside a ML research team and our Product &amp;amp; Partnerships teams, focused on building products that support our environmental and high-impact users.</p>\n<h4>Today, our team works on two products:</h4>\n<p>Skylight uses AI to detect illegal, unreported, and unregulated fishing in real time. Governments, enforcement agencies, and conservation organizations in 95+ countries use it to protect their waters. Our advanced AI-powered platform delivers real-time vessel detections and actionable insights that empower enforcement agencies globally to protect marine ecosystems. Read more at https://allenai.org/skylight.&amp;nbsp;</p>\n<p>OlmoEarth is an open, end-to-end platform built around our family of foundation models for Earth observation. The OlmoEarth Platform enables our users to create custom fine-tuned models to detect and classify novel geospatial features. The platform handles the full loop: imagery acquisition from Sentinel-1, Sentinel-2, and Landsat; annotation; distributed training and inference; and a viewer so the outputs are usable by people who aren't ML experts. Partners today include NASA JPL (wildfire risk), IFPRI (crop mapping in Kenya), Global Mangrove Watch, and the Amazon Conservation Alliance. Read more at https://allenai.org/olmoearth.&amp;nbsp;</p>\n<p>If you're the kind of engineer who gets energized by building technology that helps protect oceans, forests, and the climate, who wants to move fast, work across disciplines, and see your code have real-world impact, this is for you.</p>\n<h4>What We Believe:</h4>\n<p>The mission is the point. We're building AI for the planet: environmental conservation, food security, climate. If it’s important to you to work on problems with a positive impact on our planet and the world, you’re in the right place.&amp;nbsp;</p>\n<p>The engineer closest to the user makes the best decisions. We put weight on talking to users, sitting with partnerships, and working side by side with researchers. You can't ship the right thing if you don't understand who you're shipping it for. This engineering team travels regularly to meet with users.&amp;nbsp;</p>\n<p>Iterate small. Our users are tackling huge problems: illegal fishing, food security, climate resilience. They need tools that genuinely help. We believe the fastest way to build those tools is to design and build alongside them as partners: ship something functional, learn from how they use it, and iterate from there. Keeping users in the loop is how we build a better product, faster.</p>\n<p>We ship high-quality code quickly, and we learn fast from mistakes. We hold a high bar for what we put into production, but we also move with urgency. When something breaks, we focus on understanding the system, not blaming individuals. Failures are signals that help us strengthen the layers that protect our users.</p>\n<p>In-person matters. A lot of the best work on this team happens in unscheduled hallway conversations between engineering, research, and partnerships. We're in the office most days because that's where the team is at its best.</p>\n<p>We hire for curiosity. The technologies we use will change over the years, and the engineers who do well here are the ones who enjoy learning new things, not the ones who've memorized a particular toolkit.</p>\n<p>Ideas get better when they're challenged. We make decisions by talking them through - asking questions, pushing back when something doesn't quite add up, and being open to changing our minds. Everyone here is still learning, and we like it that way.</p>\n<p>Who You Are:&amp;nbsp;<br/>We're looking for a strong builder. Someone with deep experience shipping high-quality, scalable, full-stack products that integrate state-of-the-art ML models. Someone who wants to grow alongside a team working at the forefront of applied AI, on a product that exists to do good in the world. A great candidate is someone who thoughtfully reflects on our internal processes and is comfortable pushing for change.</p>\n<h4>Required Qualifications:</h4>\n<ul><li>5+ years of professional software engineering experience in industry. Internships, graduate school, and research positions are valuable but do not count toward this.</li><li>Experience working as a generalist software engineer across multiple parts of the stack and product lifecycle. Strong foundations in web applications, data pipelines, distributed systems, and modern cloud tooling. The specific frameworks matter less than demonstrated ability to pick up new technologies as the field evolves.</li><li>You're using modern AI tooling (e.g. Claude Code, agentic workflows) to move faster and rethink how engineering gets done.</li><li>A track record of taking software products end to end. Shaping requirements, designing architecture, shipping to external users, and continuing to develop them over time based on user feedback.</li><li>Ownership overproduction systems. Including taking on-call rotations, troubleshooting production issues, and digging into logs, metrics, and code to develop real, actionable insight when something needs attention.</li><li>You write clear technical plans, give and receive feedback well, constantly prioritize, and can guide stakeholders through the details.</li></ul>\n<h4>Preferred qualifications:</h4>\n<ul><li>Experience at small or growth-stage companies, where you own outcomes end to end without heavy process scaffolding.</li><li>Hands-on experience integrating machine learning models into production systems: deployment, monitoring, scaling real-time inference, and iteration. You collaborated directly with researchers to bring models out of a research context, and you built user-facing applications where AI outputs need to be communicated clearly to non-technical users.&amp;nbsp;</li><li>You're opinionated about software engineering practice: coding patterns, breaking down work, code review, testing, build systems. You bring that judgment to the team while staying open to other perspectives.</li><li>A demonstrated track record of technical depth and self-directed learning - for example: open-source contributions, technical writing, conference talks, sustained side projects.</li><li>Open to occasional international travel to meet directly with the people using what we build.</li></ul>\n<h4>Projects We’re Excited About:</h4>\n<p>To give you a better idea of the kinds of projects we work on, here are some examples of our current and past&amp;nbsp; projects:</p>\n<ul><li>Automated model development: We're building the OlmoEarth Platform to enable users to go from raw tabular data to a fine-tuned, evaluated, production-ready computer vision model, without needing an ML engineer. The underlying infrastructure allows us to run jobs across thousands of parallel GPUs and terabytes of satellite imagery - covering continent-sized areas for fractions of a penny per square kilometer. We're also pushing into agentic approaches: agents that help with dataset discovery, preparation, and augmentation, and agents that explore model configurations and architectures to find the right setup for a given use case.</li><li>Deploy multi-tenant agents: We are building a multi-tenant agent-orchestration platform to power Skylight's next generation of AI products - starting with Shippy, our maritime-domain-awareness agent. Every end user gets their own isolated sandbox: a per-user container stack with persistent GCS-backed state, a conversation history, and a hardened network boundary where the agent runtime can run free, in a secure environment. This platform will allow us to launch agentic-powered products without re-inventing the wheel every time.&amp;nbsp;</li><li>Sentinel-2 vessel detections: We use the Sentinel-2 Satellites from the European Space Agency to detect locations of vessels globally in near-real-time. Our data-pipelines download imagery as soon as it’s available and run our state-of-the-art computer vision models to detect vessels and make these observations available to our users, typically in under 4 hours from an image being taken. You can read more about this project in our blog post here.</li></ul>\n<h4>Physical Demands and Work Environment:</h4>\n<p>The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.</p>\n<ul><li>Must be able to remain in a stationary position for long periods of time.&amp;nbsp;</li><li>The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations.&amp;nbsp;</li><li>The ability to observe details at close range.</li><li>Can work under deadlines.</li></ul>\n<h4>A Little More About Ai2:</h4>\n<p>Ai2 is a Seattle based non-profit AI research institute founded in 2014 by the late Paul Allen. Our mission is building breakthrough AI to solve the world’s biggest problems. We develop foundational AI research and innovation to deliver real-world impact through large-scale open models, data, robotics, conservation, and beyond.</p>\n<p>In addition to Ai2’s core mission, we also aim to contribute to humanity through our treatment of each member of the Ai2 Team. Some highlights are:</p>\n<ul><li>We are a learning organization – because everything Ai2 does is ground-breaking, we are learning every day. Similarly, through weekly Ai2 Academy lectures, a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, Ai2 is a place where you will have opportunities to continue learning alongside your coworkers.&amp;nbsp;</li><li>We value diversity - We seek to hire, support, and promote people from all genders, ethnicities, and all levels of experience regardless of age. We particularly encourage applications from women, non-binary individuals, people of color, members of the LGBTQA+ community, and people with disabilities of any kind.&amp;nbsp;</li><li>We value inclusion - We understand the value that people's individual experiences and perspectives can bring to an organization, and we are building a culture in which all voices are heard, respected and considered.</li><li>We emphasize a healthy work/life balance – we believe our team members are happiest and most productive when their work/life balance is optimized. While we value powerful research results which drive our mission forward, we also value dinner with family, weekend time, and vacation time. We offer generous paid vacation and sick leave as well as family leave.</li><li>We are collaborative and transparent – we consider ourselves a team, all moving with a common purpose. We are quick to cheer our successes, and even quicker to share and jointly problem solve our failures.</li><li>We are in Seattle – and our office is on the water! We have mountains, we have lakes, we have four seasons, we bike to work, we have a vibrant theater scene, and we have so much else. We even have kayaks for you to paddle right outside our front door. We welcome interest from applicants from outside of the United States.</li><li>We are friendly– chances are you will like every one of the 200+ (and growing) people who work here. We do.&amp;nbsp;</li></ul>\n<p>Ai2 is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. You may view the related Know Your Rights compliance poster and the Pay Transparency Nondiscrimination Provision by clicking on their corresponding links.&amp;nbsp;</p>\n<p>This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact the Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9.</p>\n<p>We are committed to providing reasonable accommodations to employees and applicants with disabilities to the full extent required by the Americans with Disabilities Act (ADA). If you feel you need a reasonable accommodation pursuant to the ADA, you are encouraged to contact us at recruiting@allenai.org.</p>\n<p>Benefits:&amp;nbsp;</p>\n<ul><li>Team members and their families are covered by medical, dental, vision, and an employee assistance program.</li><li>Team members are able to enroll in our health savings account plan, our healthcare reimbursement arrangement plan, and our health care and dependent care flexible spending account plans.</li><li>Team members are able to enroll in our company’s 401k plan.</li><li>Team members will receive $125 per month to assist with commuting or internet expenses and will also receive $200 per month for fitness and wellbeing expenses.</li><li>Team members will also receive up to ten sick days per year, up to seven personal days per year, up to 20 vacation days per year and twelve paid holidays throughout the calendar year.</li><li>Team members will be able to receive annual bonuses and can participate in the long-term incentive plan.</li></ul>\n<p>&amp;nbsp;</p>\n<p>&amp;nbsp;</p>\n<p>&amp;nbsp;</p>\n<p>&amp;nbsp;</p>\n<p>Note: This job description in no way states or implies that these are the only duties to be performed by the team members(s) of this position. Team members will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the team member(s) will possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities. This document does not create an employment contract, implied or otherwise, other than an at will relationship.</p>","location":"Seattle, WA","city":"Seattle","locationType":"onsite","employmentType":"full-time","seniority":"senior","salaryMin":126000,"salaryMax":189000,"salaryCurrency":"USD","applyMethods":[{"type":"url","value":"https://job-boards.greenhouse.io/thealleninstitute/jobs/7909771"}],"postedAt":"2026-06-28T19:01:50.993Z","expiresAt":"2026-07-28T00:00:00.000Z","aiInfrastructure":[],"techStackTags":["GCP","Python","computer vision","distributed systems"],"agenticFrameworks":[],"geoRegion":"us","countries":["US"],"remoteScope":"onsite","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#984475","vibrant":"#ef539a","darkMuted":"#243440","lightMuted":"#8b0d46","darkVibrant":"#0c3434","lightVibrant":"#f385b7"},"viewCount":5,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":1,"impressionCount":699,"slug":"ai2-allen-institute-for-ai-senior-software-engineer-ai-for-the-planet-QFwTLG","isFresh":true,"featured":false}],"meta":{"total":1374,"page":1,"per_page":50}}