Python · TensorFlow
ABOUT THE ROLE
Join the applied AI team at a fintech company to build and own its agent platform. You will develop reliable AI systems that support financial advisors and clients, with a focus on high-quality outputs, effective human collaboration, and financial data accuracy.
WHAT YOU'LL DO
- Build general-purpose agents that plan and complete complex tasks using code execution, web search, retrieval, and other tools.
- Develop ambient agents that triage email, process meetings, draft communications, and surface timely actions for advisors and clients.
- Design the agent harness that coordinates language models, context, tools, retrieval, and business logic.
- Create generative user interfaces and human-in-the-loop workflows that let advisors collaborate with agents and retain control.
- Build evaluation infrastructure for both correctness-sensitive financial data and tasks requiring judgment.
- Develop memory systems that retrieve and update relevant client context over time.
WHAT WE'RE LOOKING FOR
- Four to ten years of full-stack or backend engineering experience, including production LLM-powered agents.
- Experience orchestrating LLMs with retrieval-augmented generation, tool calling, prompt engineering, and agent frameworks.
- Strong software engineering fundamentals across APIs, data modeling, and system design.
- Fluency with relevant technologies such as Python, LLMs, vector databases, TypeScript, and React.
- Experience shipping and maintaining high-quality AI systems in production, including evaluation infrastructure for non-determinist