Senior AI Engineer
Build and optimize AI agent orchestration and reasoning systems for the insurance industry. Requires 6+ years in ML/AI, strong Python skills, and exceptional LLM prompting ability.
About the job
What You’ll Do
- Set up end-to-end evals to measure & improve agent performance
- Experiment with new agentic techniques (e.g. multi-agent systems, reasoning-from-feedback, RFT, etc)
- Build lightweight tools, servers, and orchestration layers (e.g. MCP servers) that enable agents to operate reliably in production
- Stay on top of emerging research and blogs on LLM/AI agents and bring ideas into production experiments
What We’re Looking For
- Amazing ability to speak with LLMs - Occam's razor in prompting
- Strong experience with Python
- 6+ years building in ML/AI
- Clear communicator - both in person and in writing
- Bonus: background in B2B SaaS and 0-1 experience
- Above all: drive, grit, and ownership
Note that this is not a model-training role - you’ll be building orchestration and reasoning systems on top of existing LLMs (think Claude-Code over Claude-Model).
Benefits
- Fully covered, best-in-class health, dental, and vision benefits
- Competitive Compensation, meaningful stock options, company 401(k)
- Unlimited PTO
- Outstanding in-office culture in the heart of San Francisco
- Lunch and dinner onsite
- Team events, such as happy hours and off-sites
- Pre-tax Commuter benefits
Skills
Python, Llm Prompting, Multi-Agent Systems, Agent Orchestration, Reasoning Systems, Mcp Servers, Evals, Rft
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