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Founding AI Engineer

Job in New York, New York County, New York, 10261, USA
Listing for: Doist
Full Time position
Listed on 2026-08-10
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Full Stack Developer, Backend Developer
Salary/Wage Range or Industry Benchmark: 150000 - 210000 USD Yearly USD 150000.00 210000.00 YEAR
Job Description & How to Apply Below
Location: New York

New York City | Full-Time | Founding Team About Future proofing Future Proofing  has partnered with a prolific M&A investment banker to build an end-to-end AI platform for investment banking, a category that has been talked about far more than it has been built. The MVP is roughly a month out. We are looking for an AI engineer who has taken products from zero to one to join a team of senior engineers and carry the product from MVP to market.

What

You'll Do
  • Take the product from MVP to something real customers rely on
  • Build with LLMs, agents, RAG, and evaluation as core product surface, not as bolt-ons
  • Work directly with the founding team on what gets built and why
  • Dig into the parts of the system that need real ownership: data pipeline, infra, model integration
  • Move fast alongside engineers who already know how to ship
What We're Looking For
  • 7+ years shipping production software, with meaningful time at an early-stage company
  • You have taken at least one AI-powered product from nothing to real users in production, and can explain the tradeoffs you made along the way
  • Deep in modern stacks, typically Type Script/React/Node and/or Python, comfortable across the full stack and into infrastructure
  • Uses AI tooling daily as part of how you actually build
  • Comfortable with ambiguity and with being the person who decides
  • Can talk to non-engineers about technical tradeoffs without losing either group
  • Founding engineer experience is a plus, though this role won't carry the traditional founding-engineer scope of building and owning the whole system solo
What Makes This Opportunity Different
  • The product is category-defining. Investment banking has not been rebuilt around AI yet. This is the attempt to do it, not a feature layered onto something that already exists.
  • You are early, but not too early. The MVP is nearly built, so you arrive with something real in hand rather than a blank page.
  • You will build next to people who know the domain cold. Our partner has spent a career doing these deals. You will not be guessing at what bankers need or designing from secondhand assumptions.
  • A high-autonomy team. You'll work alongside senior engineers who move fast and don't need hand-holding, with real say in the decisions that shape the product.
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