Own AI powered features end to end – from identifying user problems to shipping polished, production ready experiences.
Talk to users, define product requirements, and decide what’s worth building next.
Design intuitive UX flows and interfaces for AI native interactions.
Build across the full stack – backend services, AI/LLM integrations, and frontend UI.
Develop and refine prompts, retrieval pipelines, and agentic workflows using frontier LLMs (Claude, Gemini, GPT).
Build evaluation frameworks to measure model quality, accuracy, caching, fallback strategies, and cost optimization.
Help shape engineering culture, technical standards, and product direction as the team grows.
Stay current with advances in LLMs, RAG, agents, and evaluation techniques; bring promising ideas into the product.
Move fast, ship often, and iterate relentlessly based on user feedback.

4+ years of professional software engineering experience.
Strong proficiency in Python and a modern web framework (FastAPI, Flask, Django, or similar).
Frontend experience with React, TypeScript, or a comparable framework.
Hands on experience building applications with LLM APIs (OpenAI, Anthropic, Google, or open-source models).
Solid understanding of prompt engineering, retrieval-augmented generation (RAG), and evaluation methods.
Strong product instincts – able to identify what’s worth building and make sound UX decisions.
High autonomy – thrives without a detailed spec or established process.
Bias toward shipping; comfortable trading polish for speed when it matters.

AAP/E EO Statement Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.

AI Product Engineer

Key skills