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Senior AI Engineer (Studio)

Hybrid$190K - $250K
  • Experience3 - 7 years — end-to-end AI systems to production and operated them after launch:
  • Compensation$190K - $250K
  • Salary detailBased on experience and qualifications. Additional comp includes bonus, platform equity, studio fund participation, and PE fund carry.
  • EquityCompetitive equity
  • VisaOpen to visa transfers (e.g. OPT, H1B transfers)
  • Work policy3 days in-office in Flatiron District (21st & Broadway), NY or Chicago, IL
  • LocationFlatiron District, Manhattan, New York, NY, Chicago, IL
  • TypeFull-time
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The Opportunity

We are looking for a Senior AI Engineer with 3–7 years of experience to join the company's Studio as a core builder turning validated venture concepts into shipped products with real users. You're a quant-aspiring or big-tech engineer with an entrepreneurial streak — someone who's shipped end-to-end AI systems to production, built things nobody asked you to build, and wants real ownership in the companies you create.

What You'll Be Doing

  • Building end-to-end agentic AI systems (agents, retrieval, orchestration, tool integrations) for Studio ventures from 0→1 through product-market fit
  • Taking a venture's first product from scope to ship — cutting ruthlessly to the smallest thing that proves value, then hardening it for production
  • Extracting reusable primitives and patterns from each build so the next venture starts further ahead
  • Working directly with product strategists and design partners to shape what gets built — not just how it gets built
  • Operating across genuinely different venture contexts as need dictates, thriving in ambiguity rather than waiting for it to resolve

Key Requirements

  • 2–5+ years at a top quant firm (Citadel, Two Sigma, DE Shaw, Jane Street) or elite tech company (Google, Stripe, Ramp, Databricks, Modal) with clear individual output you can separate from the platform around you
  • Shipped end-to-end AI systems to production with real users and real failure modes — not demos or notebooks
  • Demonstrated entrepreneurial instinct: a side project, startup, internal 0→1, or innovation within a large org that shows you don't just execute what's scoped for you
  • STEM degree (CS, Math, Physics, Engineering) from a top-tier university
  • Commercial EQ — comfortable working with non-technical stakeholders, customers, and design partners alongside deep technical ability

Tech Stack

Python, LLMs, Agentic AI Frameworks, RAG / Retrieval Systems, ML Model Serving, Evaluation & Regression Suites, CI/CD, Observability / Monitoring Tech stack Python, LLMs, Agentic AI Frameworks, RAG / Retrieval Systems, ML Model Serving, Evaluation & Regression Suites, CI/CD, Observability / Monitoring

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