Applied AI Engineer, Agent Systems (Wealth Tech Startup)

A small wealth-management technology startup is building software where AI agents are treated as the main operators of the core client record, with human financial advisors working beside them. It is hiring applied AI engineers to own the whole agent stack, in a team that works together in one office.

Your focus

Build a general-purpose agent for multi-step work, including planning, sandboxed code runs, web lookups and retrieval, to serve advisors

Create always-on background agents acting for clients and advisors: sorting mail, processing meetings, drafting messages and flagging what deserves attention early

Develop the orchestration layer connecting models, context windows, tool access, search and business rules into one dependable system

Design generative interfaces that keep an advisor in control while agent and advisor truly work as partners

Create an evaluation framework that satisfies both strict accuracy on financial data and softer, judgment-based tasks

Develop memory that captures how each client thinks about money and surfaces it when relevant

About you

Four to ten years in full-stack or backend engineering, with production LLM agent systems in your history

Hands-on knowledge of orchestration, retrieval, tool calling and prompt design

Solid fundamentals in APIs, data modeling and system design

Experience in a high-growth startup environment

Comfort with non-deterministic systems and a habit of validating progress through rigorous evaluation

High standards for output quality and careful attention to the consequences of errors in financial settings

A collaborative, candid and humble working style

On-site in New York, NY with a full-time office schedule. Visa transfers considered; new sponsorship is not available.