Job Description

A high-growth AI-native startup is hiring an AI Engineer in New York to design, build and ship LLM-powered product features and agentic workflows into production.

This is a build role focused on the applied AI stack: prompts, retrieval, tools, agents, evals and the glue that connects them to a real product. You’ll work close to product and real users, not inside a research lab.

Role: AI Engineer

Salary: $200,000 - $300,000 plus equity

Location: New York, 5 days per week in office

What you’ll be doing:

Design and ship production LLM features and agents using Python and TypeScript
Build the applied AI toolkit end to end: tool and function calling, RAG, vector search, structured output, prompt management, context handling
Work directly with foundation model APIs (Anthropic, OpenAI, Google) and open-source models where it makes sense
Build evaluation pipelines (Braintrust, LangSmith or custom) so quality is measurable rather than anecdotal
Integrate agents into existing product surfaces built in React and Next.js
Own cost, latency and reliability of the AI layer as first-class concerns
Use AI tooling (Claude, Cursor and similar) across your workflow to compress the build cycle

What you’ll need:

Strong Python and TypeScript, with real production experience shipping LLM-powered features
Practical grasp of the applied AI stack: function calling, RAG, vector databases, structured output, prompt engineering, context management
Comfort with at least one agent framework or SDK, with a view on why the abstractions exist
Experience building evals and guardrails for LLM output
Solid API, integration and backend engineering fundamentals
Fluent in modern AI engineering tools and able to use them to raise output
Happy working 5 days a week in-person with a small, high-intensity team

Nice to have: