AI Engineer (LLM / GenAI / RAG / AI Agents)

About the role

As an AI Engineer, you'll help build the AI systems at the core of illumend's compliance engine — from document understanding and extraction to agentic reasoning that evaluates insurance compliance. You'll work across the stack, from prompt/agent design to backend integration, to ship production AI features that real operators and customers rely on daily.

What you'll do

• ● Design, build, and productionize LLM-powered features — document/data extraction,
• agentic compliance evaluation, RAG pipelines, and confidence scoring
• ● Own the AI feature lifecycle: prototyping, evaluation design, prompt/agent iteration, and
• production deployment
• ● Build and maintain evals to measure and improve model accuracy over time
• ● Write backend services (Python/FastAPI or similar) that integrate AI outputs into
• illumend's product
• ● Work with document processing and OCR pipelines to extract structured data from
• insurance documents (COIs, endorsements, policies)
• ● Collaborate closely with product and engineering to translate compliance requirements
• into robust technical solutions
• ● Write clear technical documentation and participate in code review
• ● Contribute to architecture decisions as illumend's AI systems scale
• What We're Looking For
• ● Hands-on production experience building LLM/GenAI systems — not just prototypes
• ● Strong Python skills; experience with FastAPI or comparable backend frameworks
• ● Practical experience with prompt engineering, RAG, and agentic patterns (e.g.,
• LangChain, LangGraph, or equivalent)
• ● Experience with cloud infrastructure (GCP or AWS)
• ● Comfort building and interpreting evaluation frameworks for model quality
• ● Strong communication skills and ability to work independently in a fast-moving startup
• ● Bonus: experience with document/OCR processing, multimodal LLMs, or
• insurance/compliance domains

Requirements

• Hands-on production experience building LLM/GenAI systems — not just prototypes
• ● Strong Python skills; experience with FastAPI or comparable backend frameworks
• ● Practical experience with prompt engineering, RAG, and agentic patterns (e.g.,
• LangChain, LangGraph, or equivalent)
• ● Experience with cloud infrastructure (GCP or AWS)
• ● Comfort building and interpreting evaluation frameworks for model quality
• ● Strong communication skills and ability to work independently in a fast-moving startup
• ● Bonus: experience with document/OCR processing, multimodal LLMs, or
• insurance/compliance domains

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