Senior Full Stack AI Engineer

Location: Denver, CO (hybrid, Tue/Wed/Thu in office). Reports to: CEO.

The role: We're hiring two senior full-stack engineers to build the next generation of Ombud's agentic AI platform. The work splits across two domains: building the agentic engine itself (LlamaIndex / agent orchestration / tool calling / evaluation pipelines) and the ML data engineering that supports it (embeddings, vector store operations, retrieval quality, RAG/CAG architectures). These are high-output IC roles. You will ship production code, own systems end-to-end, and operate without a layer of engineering management between you and the product direction. You will work directly with the CEO on architectural decisions and directly with the platform engineer on production deployment. We are not hiring engineering managers and we are not hiring junior engineers.

What you'll own:

• Ombuddy Native: our next-generation agentic platform replacing the existing Chrome extension. Production agent orchestration, tool design, multi-step reasoning workflows.
• RAG and CAG architecture: embeddings, retrieval, re-ranking, caching strategies. We use LlamaIndex and Qdrant today; we will evolve the stack as needed.
• LLM integration with Anthropic Claude (primary), with multi-model routing where it makes sense.
• Evaluation pipelines: how we measure response quality, regression-test prompts, and ship LLM-dependent features with confidence.
• Self-service infrastructure: customer onboarding flows, content ingestion automation, in-product setup experiences.
• Full-stack feature delivery across Python (primary backend), Node.js (legacy services), React (frontend), PostgreSQL, and Elasticsearch.
• Production operations: own your features through deployment, monitoring, and customer-facing incidents.
• Code review and technical mentorship within a small, senior engineering team.

Must-haves:

• 6+ years of professional full-stack software engineering experience, with demonstrated production system ownership.
• Deep Python fluency. JavaScript / TypeScript / React competence.
• Hands-on production experience integrating LLMs into product (Anthropic, OpenAI, Google), not academic, not prototype work, but features that customers use.
• Working knowledge of RAG architectures, embeddings, vector databases, and the trade-offs between retrieval and context-caching approaches.
• Fluency with Claude Code or similar AI-augmented development workflows.
• Strong intuition for system design: can take a vague product goal, design the architecture, and ship the implementation.
• Comfort operating in a small team without a layer of engineering management.
• Willingness to be in-office Tuesday through Thursday in Denver.

Nice-to-haves: Production experience with LlamaIndex, LangChain, LangGraph, or similar agent orchestration frameworks. Experience designing and operating evaluation pipelines for LLM applications (Langfuse, Braintrust, or custom). Vector database operations at scale (Qdrant, Pinecone, Weaviate). Browser extension or Office add-in development. Open source contributions, particularly in the AI tooling ecosystem. Prior experience in revenue operations, sales enablement, or response management software.

ABOUT OMBUD: Ombud is a Denver-based B2B SaaS company building the agentic AI platform that powers Revenue Operations teams at enterprises like Workday, UKG, and Prudential. Our product, Ombuddy, automates the response work (RFPs, security questionnaires, proposals) that has historically eaten enterprise sales cycles. Our 2026 strategy is to extend this from response management into Orchestrated Revenue Operations: autonomous execution of the discrete sales processes that move revenue.