Join a fast-moving team building a unified data layer for complex financial reporting. As an AI-native engineer, you will leverage agentic development tools to ship features across the full stack while maintaining rigorous data integrity. You will own the judgment calls that turn AI-generated code into a trusted foundation for institutional decision-making.
AI-Native Product Engineer at seed-stage fintech infrastructure startup
Are you an engineer who views AI agents as your primary development tool rather than just a supplement? This seed-stage fintech startup is reimagining product engineering by running agents in parallel against a custom harness to build mission-critical financial infrastructure. You will own features end-to-end, from scoping with product leads to writing the behavioral tests that prove your agent-driven code works. If you have 4+ years of full-stack experience, a "paranoid" eye for quality, and a desire to shape the future of AI-native development in a high-stakes environment, this hybrid role in Soho, NYC is for you.
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Location
New York, United States
Compensation
Not Disclosed + Equity
Company
Confidential company
Role overview
About the company
Seed-stage fintech infrastructure startup
What you will do
- Build and ship complex product modules and UI components using agentic development tools like Claude Code and a purpose-built skills library.
- Manage multiple parallel agent workstreams, conducting meticulous diff reviews to ensure every deploy meets strict behavioral testing standards.
- Maintain a clean boundary between the product surface area and core calculation logic by collaborating closely with internal data engineering teams.
Who this is a fit for
- 4+ years of full-stack experience (React/TypeScript and Python) with a track record of shipping polished, user-centric product surfaces.
- Proven experience using agentic coding tools like Claude Code or Cursor as a primary development workflow to ship production-ready features.
- A quality-first mindset characterized by assuming AI agents make mistakes and proactively writing behavioral tests to prevent regression risks.
Why this role is remarkable
- Pioneer an AI-native engineering workflow, running multiple agents in parallel to achieve throughput far beyond traditional development cycles.
- Work at a seed-stage company with real customers and high financial stakes where data accuracy is the primary competitive moat.
- Join a high-ownership environment where you collaborate directly with leadership to shape the core architecture of an AI-first fintech organization.
How Jack & Jill work together
I get to know what you’re great at, then find roles you’d never find yourself.Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
I recruit from Jack’s network and make the intro when I spot a great match.And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
Meet Jack
What happens next?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If your profile’s a match and Confidential company wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.