Chestnut is hiring an Engineer focused on ML and Agent Design to build AI-driven insurance operations. You will develop ML pipelines and novel agent reasoning, moving from prototype to production in complex, data-heavy domains.
What You'll Do
- Develop and refine ML pipelines for agent behaviors using prompting, fine-tuning, retrieval-augmented generation, and reinforcement learning.
- Prototype and experiment with novel agent reasoning, multi-step planning, and tool usage for complex, data-heavy domains.
- Run structured experiments to evaluate agent performance, optimize reasoning and retrieval, and translate findings into production-ready solutions.
- Build data pipelines and evaluation frameworks that support rapid iteration and deployment of new agent capabilities.
- Collaborate with orchestration and infra teams to ensure agent models are robust, scalable, and reliable in production.
What We're Looking For
- 3+ years of experience building and analyzing ML systems, including data pipelines and training frameworks.
- Strong experience with LLMs, prompting, fine-tuning, and ML experimentation.
- Understanding of retrieval systems, vector databases, and reasoning techniques for large-scale text datasets.
Team & Environment
You'll join small, high-context teams working with best-in-class tools and colleagues to achieve outsized results. We chase 10x productivity gains that allow us to scale impact beyond our headcount.
Benefits & Compensation
- Competitive salary and equity, with 10 year exercise window for stock options.
- Remote-first culture built on trust, autonomy, and high performance.
- Team offsites and a take what you need vacation policy.
- Top notch health, dental, and vision insurance subsidized by us.
Work Mode
This is a global, remote-first position.



