AI Engineer

New York City, Hybrid (3 days)

$180,000 - $250,000 + meaningful equity

We’re partnered with a venture-backed HealthTech building AI systems that go far beyond simple API wrappers. This team is focused on real agentic infrastructure, applied ML, and building production systems that push the boundary of what modern AI can actually do.

They’re hiring an AI Engineer to work on core intelligence systems, multi-step agents, and the models and architecture behind them.

What You’ll Do

Build production AI systems and multi-agent workflows
Design and improve RAG pipelines, retrieval systems, and evaluation frameworks
Work on fine-tuning, preference modelling, and applied ML problems
Build reliable backend systems that turn research into production products
Help shape the technical direction of a fast-moving AI team

What They’re Looking For

5-10 years of software engineering experience
Deep understanding of machine learning principles and theory
Experience building real-world AI systems in production
Hands-on experience with multi-agent systems, RAG, fine-tuning, or workflow automation tools
Degree in: CS, Mathematics, Statistics, or related degree
Startup experience: high ownership, moves quickly

Strong Bonus Signals

Open source contributions or public GitHub work
Product instincts and ability to ship quickly

Why This Role

Work on real AI problems, not prompt wrappers
High ownership, small team, serious upside
Build alongside strong technical operators
Chance to shape systems from an early stage

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