Senior AI Engineer, GenAI - Honeycomb Insurance

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)

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.

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)