Founding AI Platform Engineer - From MVP to Market

FutureProofing; New York (NY); On-site; USD 140,000 - 210,000; Full time

Job summary

FutureProofing is building an end-to-end AI platform for investment banking. We are seeking an AI engineer who can take products from MVP to market, shipping with LLMs, agents, RAG, and evaluation as core surface.

You will work directly with the founding team and own data pipelines, infra, and model integration, moving fast alongside senior engineers who know how to ship.

Qualifications

• 7+ years shipping production software, preferably at early-stage startups.
• Led at least one AI-powered product from zero to real users.
• Fluent across full stack and infrastructure; comfortable with ambiguity.

Responsibilities

• Take the product from MVP to real customers.
• Build with LLMs, agents, RAG, and evaluation as core surface.
• Work with the founding team on what gets built and why.
• Own data pipelines, infra, and model integration.
• Move fast with senior engineers.

Skills

Full stack development

TypeScript/React/Node

Python

AI tooling

Communication with non-engineers

Tools

Data pipelines

Infra

LLM integration

Job description

FutureProofing 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 TypeScript/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.