Senior AI Engineer, Gen AI

Honeycomb Insurance•Chicago, IL

3d•Onsite

About The Position

As a Senior AI Engineer (GenAI), you will own production GenAI systems end-to-end, from the eval set, to the agent design, to the FastAPI handler running in production, to the dashboard you check the next morning. You’ll work directly on systems like our customer support agent, which today drafts replies to real customers and CS reps in a regulated insurance setting — no toy demos, no handoff to a separate engineering team. This is a high-ownership role where your work directly influences our products, operations, and long-term AI strategy.

Requirements

6+ years in AI/ML, Data Science, or applied engineering; 1–3 years shipping production GenAI applications (LLMs, agents, RAG) — not demos
Master’s or PhD in CS, ML, Statistics, Engineering, or related, or equivalent practical experience
Hands-on with multi-agent orchestration, tool use, and context-managed conversational systems (OpenAI Agents SDK, LangGraph, or similar)
Deep expertise in RAG, vector databases, embedding selection, and retrieval optimization
Strong Python + ML foundations (PyTorch, scikit-learn, Hugging Face)

Nice To Haves

Experience building automations and agent Skills, or working with browser-use agents to automate real workflows

Responsibilities

Design, build, and ship agentic AI workflows end-to-end — agent logic, RAG, FastAPI service, deployment, monitoring
Build and own evaluation pipelines: golden datasets, LLM-as-judge calibration, regression tests, distribution-shift detection
Productionize RAG pipelines grounded in insurance-specific data
Integrate LLM agents with policy/claims systems and internal tools
Own observability, guardrails, safety, and error handling for systems serving real users
Build automations that take repetitive operational work off the team’s plate, including agent Skills and browser-use tooling where it speeds delivery