Own the design and implementation of user-facing applications that sit directly on top of AI systems
Build interfaces and workflows for knowledge capture, system configuration, evaluation, and feedback
Accountable for whether human interactions with AI systems produce high-quality signal that measurably improves system behavior over time
Partner with AI Strategists to understand customer goals, domain constraints, and success metrics
Help shape how domain knowledge and business intent are encoded into workflows, schemas, and interfaces
Work across the full stack—front end, back end, and data—to deliver cohesive product experiences
Study how humans and AI systems interact in real workflows
Iterate quickly in production, using real user behavior and system outcomes to refine both the product experience and the AI systems
Ownership of shipped product experiences and adapt them as customer needs, business objectives, and AI capabilities evolve

1+ years of software engineering experience
Strong Full-Stack Engineering Skills: Comfortable building across front end (TypeScript/React), back end (Python), and data layers
Experience Building Products on Top of AI Systems: Shipped user-facing applications that integrate with LLMs or other AI services
Comfort Operating at the Product–Engineering Boundary: Enjoy working with AI Strategists and domain experts
Systems Thinking Across Human and AI Boundaries: Reason clearly about how user actions become structured signal for AI systems
AI-Native Working Style: Use AI tools daily to write and debug code and explore designs
Ability to travel 10-20%

100% covered medical, dental, and vision for employees and dependents
401(k) with additional perks (e.g., commuter benefits, in‑office lunch)
Access to state‑of‑the‑art models, generous usage of modern AI tools, and real‑world business problems
Ownership of high‑impact projects across top enterprises
A mission‑driven, fast‑moving culture that prizes curiosity, pragmatism, and excellence

AI Product Engineer

Key skills