AI Engineer

YLD
Full-timeSenior

AI Tools

AnthropicChatGPTCrewAILangChainLiteLLMLlamaIndexMastra

Tech Stack

JavaScriptTypeScriptPythonReactGraphQLgRPCWebSocketsMCPPineconeWeaviateChromaQdrantPostgreSQLNeo4jDockerKubernetesTerraformAWSAzureGCPRAGLLMvLLM

Agent Workflow

Agentic architecture design: multi-agent systems, tool orchestration, planning/reasoning frameworks, memory systems, and agent coordination patterns. Building RAG pipelines, embeddings, vector search, and function calling systems.

About the Role

AI Engineer

YLD.com

Lisbon, Portugal

Full-time, Engineering Department

About YLD

YLD is a software engineering and design consultancy with offices in London, Lisbon, and Porto. The firm helps clients develop competitive capabilities and fosters a progressive culture of learning.

The Role

Building new AI-powered features and improving client Digital Platforms with intelligent capabilities. Day-to-day involves continuous product delivery with AI model integrations, team collaboration on engineering and AI initiatives, and participating in internal showcase events.

Required Skills & Experience

Core Programming & AI

  • JavaScript, TypeScript, and Python proficiency
  • Advanced expertise in RAG, embeddings, vector search, and prompt engineering
  • Evals, guardrails, caching, chaining, and function calling
  • Agentic architecture design: multi-agent systems, tool orchestration, planning/reasoning frameworks, memory systems, and agent coordination patterns
  • LLM frameworks (LangChain, LlamaIndex, LiteLLM, CrewAI, Mastra)
  • API integrations (OpenAI, Anthropic)
  • Fine-tuning knowledge (LoRA/QLoRA, instruction tuning, RLHF)

Data & Databases

  • Vector databases (Pinecone, Weaviate, Chroma, Qdrant)
  • PostgreSQL, Neo4j experience
  • RAG data pipeline design

Infrastructure & DevOps

  • CI/CD pipelines, Terraform, CloudFormation, CDK
  • AWS, Azure, GCP cloud platforms
  • Docker, Kubernetes containerization
  • LLM inference optimization (vLLM, TGI)

Frontend & APIs

  • React or modern UI frameworks
  • GraphQL, gRPC, WebSockets, MCP
  • API design for LLM services
  • Real-time chat handling

Benefits

  • Private health care
  • 25 days annual holiday
  • 2,000 EUR training/conference allowance
  • 300 EUR hardware allowance
  • Enhanced parental leave (6 months paid)
  • Wellness support via Oli
  • Discretionary bonus
  • Company laptop
  • Referral schemes

Recruitment Process

Two-stage process: initial talent team interview (30-45 minutes) followed by technical interview with senior developers (1.5 hours).

Apply Now
Apply Now

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