Location: New York, NY (Hybrid) | Type: Full-Time | Reports to: Head of Revenue
Nomic builds AI agents and developer tools that power the built world. We help enterprise teams in architecture, engineering, and construction extract structured knowledge from decades of drawings, specs, and project files. Our platform combines embedding models, document parsing, and autonomous agents that reason over real-world data and take action in live environments.
We're looking for a senior full-stack engineer to build product across the Nomic platform. You'll work on the interfaces, APIs, and backend systems that enterprise customers and developers use daily — from our web application to our Developer API.
Most of your day-to-day coding will involve directing and managing AI coding agents. We're not interested in people who are curious about this — we need someone already doing it, with the architectural judgment to use it effectively. That means knowing how to decompose work for agents, reviewing output with a critical eye, maintaining codebase coherence when code is being generated at speed, and never letting velocity become an excuse for slop. The bar is engineering excellence: clean architecture, thoughtful abstractions, code that other people can work in.
Product features end-to-end — UI through API through data layer
Backend services in Python and TypeScript
Frontend in React/TypeScript
APIs that serve both our product and external developers
Integration points with our AI and agent systems
5+ years of professional software engineering experience
Strong full-stack skills — you're comfortable owning frontend and backend
Production experience with Python and TypeScript
Active, intentional use of AI coding tools (Cursor, Claude Code, Copilot, etc.) — not as a novelty but as your primary workflow
Good instincts for API design, data modeling, and system architecture
You write code that's clear, tested, and easy to change — whether you typed it or an agent did
You care about the end-user experience, not just the implementation
Experience building developer-facing products or APIs
Familiarity with AI/ML systems — embeddings, retrieval, model integration
Background in enterprise software or B2B products
Competitive base salary and performance-based compensation
Equity participation
Medical, dental, and vision coverage
Flexible PTO
Hybrid NYC work model (3 days in office)
High-visibility role on a small team
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