Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

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About the job

A fast-scaling startup that builds autonomous AI agents for finance teams is hiring full-stack engineers with a strong product sense. There are no fixed functional teams here: small pods form around goals and are reshuffled every quarter, so one engineer might work on core infrastructure one quarter and agent-facing features the next, while others choose to specialize deeply.

Where you might work

Product engineering, including front-end and APIs that fit together cleanly

Agent engineering, such as context design and tool design

Agent platform work, such as harnesses and evaluation systems

Platform and infrastructure

Data systems that give agents accurate, low-latency external information

An internal group building AI systems that will do a growing share of the company’s own work

Questions you’ll help answer

How do users become as comfortable with non-deterministic agents as they are with conventional software?

How should agent state and data pipelines behave when an agent works for hours at a stretch?

At what level of abstraction should tools be designed for agents?

How can outcomes be traced back to specific reasoning steps in very long agent runs?

Background we look for

Five to fifteen years building products from zero to one as a full-stack engineer, with high ownership at a Series A-D startup or a quantitative fund

Strong tenures and clear career progression

Fluency with React and TypeScript on the front end and Python on the back end, plus good design instincts

Intensity, curiosity about hard problems, and a taste for working in person

Interest in mentoring and being mentored; AI or LLM product experience is ideal

On-site in New York, NY. Visa transfers considered.