Join the applied AI team building agent systems for financial advisors and their clients. You will own key parts of the AI platform, making it possible for agents to work reliably with financial data, tools, and advisor workflows.
Build and improve agents that plan and complete multi-step tasks using code execution, web search, retrieval, and other tools.
Develop ambient agents that can triage email, process meetings, draft communications, and surface timely follow-ups.
Design the orchestration layer connecting language models, context, tools, retrieval, and business logic.
Create generative user interfaces and human-in-the-loop workflows that let advisors review, guide, and override agent actions.
Build evaluation infrastructure for both accuracy-sensitive financial data and tasks requiring judgment.
Develop memory systems that retrieve relevant client context and support useful, personalized interactions over time.
Four to ten years of full-stack or backend engineering experience, including production work on LLM-powered agents.
Experience with LLM orchestration, retrieval-augmented generation, tool calling, prompt engineering, and agent frameworks.
Strong software engineering fundamentals, including API design, data modeling, and system design.
Experience with Python, TypeScript, React, vector databases, and related AI technologies.
Experience building evaluation systems for non-deterministic AI, and familiarity with financial services or other accuracy-sensitive domains.
A computer science degree and experience in a high-growth startup environment.
Experience with generative UI or human-in-the-loop interfaces is valuable.
Annual salary range: $200,000 to $300,000. Visa sponsorship is available.
On-site in New York City, New York, United States.
Job details are sourced from the employer's original posting.
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