Senior AI Engineer, GenAI at Honeycomb Insurance

Tel Aviv, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

22 Aug, 26

Salary

0.0

Posted On

24 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

GenAI, LLMs, RAG, FastAPI, Python, PyTorch, Scikit-learn, Hugging Face, Multi-agent Orchestration, Vector Databases, Agentic Workflows, LLM-as-judge, Observability, Data Science, ML Engineering, Retrieval Optimization

Industry

Insurance

Description

Honeycomb At Honeycomb, we're not just building technology, we’re reshaping the future of insurance. In 2025, Honeycomb was recognized by Dun & Bradstreet as “Top 10 Best Start Up Companies to Work For” in Israel and named by LinkedIn as “Top 10 Startups in Chicago”. How did we earn these honors? Honeycomb is a rapidly growing global startup, generously backed by top-tier investors and powered by an exceptional team of thinkers, builders, and problem-solvers. Dual-headquartered in Chicago and Tel Aviv (R&D center), and with 5 offices across the U.S., we are reinventing the commercial real estate insurance industry, an industry long overdue for disruption. Just as importantly, we ensure every employee feels deeply connected to our mission and one another. With over $55B in insured assets, Honeycomb operates across 20+ major states, covering 60% of the U.S. population and increasing its coverage. If you’re looking for a place where innovation is celebrated, culture actually means something, and smart people challenge you to be better every day - Honeycomb might be exactly what you’ve been looking for. About The Role: 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. What You’ll Do: Design, build, and ship agentic 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 real users 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) Why Honeycomb Build foundational AI systems in a sector ripe for innovation and modernization See your work deployed quickly with immediate customer and business impact Collaborate directly with product, engineering, and executive teams—minimal bureaucracy High autonomy, fast development cycles, and meaningful equity ownership Be part of a mission-driven company redefining what insurance technology can be

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Responsibilities

Design, build, and ship end-to-end agentic workflows and production GenAI systems, including RAG pipelines and FastAPI services. Own the entire lifecycle from evaluation pipelines and monitoring to integrating LLM agents with internal insurance systems.