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 GoDesigning intuitive user experiences for LLM and agent engineering workflowsDeveloping scalable backend services and APIs that process massive volumes of telemetry and evaluation dataWorking closely with product, design, ML, and customers to shape the roadmapDriving 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 companiesDeep expertise with React, TypeScript, and modern backend developmentExperience building AI, observability, analytics, or developer tooling productsStrong product instincts and a proven track record of shipping from 0→1High 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 AIJoin a company with exceptional product-market fit and rapid growthCollaborate 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.