Join a category-defining applied AI company transforming critical industries. Embed with enterprise partners to identify high-leverage problems and build bespoke AI-powered systems. Design and build production software and AI workflows from first principles.
Key Highlights
Technical Skills Required
Benefits & Perks
Job Description
Location: New York City, NY (On-site)
Salary: Up to $325,000 + Equity
Industry: AI / Enterprise Transformation
The mission:
Join a category-defining applied AI company transforming critical industries including healthcare, manufacturing, and energy. You will embed directly with enterprise partners, including multi-billion-dollar healthcare systems, to identify high-leverage problems and build bespoke AI-powered systems that operate in the real world.
This is not a lab role. This is not a tooling role.
This is a forward-deployed engineering role where ownership, judgement, and engineering depth matter.
What you’ll do:
- Embed with customer executives, operators, and technical teams to define ambiguous problems and turn them into working systems
- Design and build production software and AI workflows from first principles
- Rapidly ship, iterate, and harden systems used by real teams in high-stakes environments
- Translate field learnings into reusable product patterns and core platform capabilities
- Own projects end-to-end: architecture, delivery, iteration, and outcomes
Who you are:
- Typically 4+ years building and shipping real production systems
- Strong computer science foundations and systems engineering ability
- Experience in early-stage or high-ownership environments (startup, founding team, new product, internal platform built from scratch)
- Comfortable operating in ambiguous, customer-facing environments
- Able to communicate clearly with technical and non-technical stakeholders, including senior leaders
- Demonstrated curiosity and self-direction around AI, whether through professional work or personal exploration
- Hands-on builder who can lead when needed, but prefers owning problems directly
Bonus signals: founding engineer experience, platform ownership, mentoring, or technical leadership.
Technical environment:
Python, TypeScript, modern backend systems, cloud infrastructure (AWS/GCP/Azure), applied ML/LLM workflows, agentic systems, human-in-the-loop pipelines. (They care more about engineering depth and judgement than exact tools.)
Why You’ll Thrive Here:
- Access to one of the largest venture investment funds driving AI innovation with virtually unlimited capital
- Work directly with top-tier Fortune 500 clients and government agencies leading AI modernization
- Collaborate with world-class researchers and product leaders from organizations like MIT, Palantir, and Meta FAIR
- Join an ambitious team scaling rapidly from 30 to 100+ employees in a critical growth phase
- Competitive compensation, comprehensive benefits, and relocation support
- Thrive in a mission-driven culture focused on responsible AI and meaningful enterprise impact
- Opportunity to shape the future of applied AI across multiple industries with a uniquely embedded engineering role
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