About the Role

Join the applied AI team at a fintech company building agent-powered tools for financial advisors. You will own the agent platform, creating reliable systems that help advisors and clients handle complex tasks and collaborate effectively.

What You'll Do

Build a general-purpose agent that plans and completes multi-step tasks using code execution, web search, and retrieval.

Develop ambient agents to triage email, process meetings, draft communications, and surface timely follow-up.

Design the agent harness that coordinates language models, context, tools, retrieval, and business logic.

Create generative interfaces and human-in-the-loop workflows that support collaboration between advisors and agents.

Build evaluation infrastructure for both factual financial tasks and judgment-intensive work.

Develop memory systems that retrieve relevant client context and adapt to advisor preferences over time.

What We're Looking For

Four to ten years of full-stack or backend software engineering experience, including building LLM-powered agent systems.

Production experience building AI agents with orchestration, tool use, and retrieval, and a track record of maintaining high-quality outputs.

Experience with LLM frameworks, RAG, prompt engineering, APIs, data modeling, and system design.

Familiarity with Python, TypeScript, React, vector databases, and agent frameworks.

Experience shipping evaluation infrastructure for non-deterministic AI systems; generative UI or human-in-the-loop interface experience is a plus.

Strong software engineering fundamentals and a track record of growth in a high-growth technology environment. A computer science degree is a plus.

Compensation & Benefits

Base salary: $200,000 to $300,000 annually. Visa sponsorship is available.

Location

On-site in New York City, New York, United States.