Staff Full Stack Product Engineer | AI Observability & Agent Engineering | Remote | Base + Equity
Staff Full Stack Product Engineer | AI Observability & Agent Engineering | Remote | Up to $235k Base + Equity I’m working with one of the most exciting companies in the AI infrastructure space, helping engineering teams build, evaluate, and monitor production LLM and agent applications at scale. Backed by top-tier investors and trusted by leading enterprises including Uber, Booking.com, Siemens, and PepsiCo, this business is at the forefront of AI observability and agent engineering. Their platform enables teams to build, test, and run AI systems with confidence. They are now looking for a Staff Full Stack Product Engineer to take ownership of high-impact product features used by some of the world’s most sophisticated AI teams. What you’ll be doing
- Building end-to-end product features across React, TypeScript, Python, and Go
- Designing intuitive user experiences for LLM and agent engineering workflows
- Developing scalable backend services and APIs that process massive volumes of telemetry and evaluation data
- Working closely with product, design, ML, and customers to shape the roadmap
- Driving architecture decisions and setting a high technical bar across the engineering team
What they’re looking for
- Staff-level full stack engineering experience in high-growth startups or top-tier product companies
- Deep expertise with React, TypeScript, and modern backend development
- Experience building AI, observability, analytics, or developer tooling products
- Strong product instincts and a proven track record of shipping from 0→1
- High agency, low ego, and a desire to solve complex technical problems
Why this role stands out
- Work on one of the most important infrastructure layers in AI
- Join a company with exceptional product-market fit and rapid growth
- Collaborate with some of the strongest engineers in the AI ecosystem
If you’re excited about AI infrastructure, developer tools, and building products that power the next generation of intelligent systems, I’d love to speak.