Staff Product Engineer Ai Focused Us Only

## About the Company We're GenAI-Labs — an award-winning AI consultancy where engineering meets imagination. We partner with innovators like the Bill and Melinda Gate Foundation, UCLA, the City of San Diego, and Google to build frontier systems in medical imaging, financial forecasting, and next-generation AI platforms. Our team thrives on solving the kind of complex, high-stakes problems that require both rigorous technical skill and sharp product thinking. ## About the Role This role is for someone who can both architect and build complex systems and own product direction. You're an engineer first, but one who enjoys talking to users, working with clients, shaping roadmaps, and making smart product decisions that guide engineering work. We're seeking a Product Engineer who thrives at the intersection of robust engineering and thoughtful product leadership. In this role, you will own the technical direction of AI-driven applications — including LLM-integrated tools, agentic workflows, and data-intensive platforms — while also driving product strategy, client communication, and execution. You will architect, build, and deliver systems, and lead discovery, translate requirements, and guide product decisions. If you like owning the whole lifecycle — from the "why" to the "what" to the "how" — this is your role. ## Key Responsibilities ### Engineering - Architect, build, and maintain scalable APIs, microservices, and backend systems for AI-powered applications. - Lead engineering implementation across backend or full stack layers. - Design and build performant, intuitive UIs when needed (React, Vue, or similar). - Integrate LLMs and AI workflows into products (RAG, agentic systems, prompt orchestration, embeddings, etc.). - Ensure best practices around security, performance, reliability, and maintainability. - Drive technical architecture decisions and long-term system design. ### Product Leadership - Own product requirements, roadmap planning, and feature prioritization. - Run agile processes: standups, sprint planning, backlog management. - Translate client goals into clear technical specs and actionable engineering tasks. - Partner directly with clients, lead discovery calls, and guide strategic conversations. - Analyze usage, collect real-world feedback, and iterate product direction post-launch. - Ensure alignment across engineering, design, and stakeholder groups. ## Required Qualifications - 5+ years of hands-on experience as a backend or full stack engineer shipping production systems. - Strong proficiency in Python, Node.js, or similar backend stacks. - Experience architecting APIs, microservices, or distributed systems. - Strong familiarity with LLM application development — integrating models, using vector DBs, building RAG or agentic systems, etc. - Experience working directly with clients or stakeholders in a technical capacity. - Ability to define product requirements, run lightweight agile processes, and align teams around a roadmap. - Excellent communication skills — able to explain technical ideas to non-technical stakeholders. - Highly self-directed with strong judgment and ownership. ## Bonus Points For - Experience delivering AI-powered products in consulting or startup environments. - Strong UX or system design sensibilities. - Familiarity with DevOps, CI/CD, or production ML pipelines. - Real-time architectures (WebSockets, event-driven systems, Kafka). - Experience leading small engineering teams. ## What We're Looking For You're a builder and a thinker — the kind of person who can talk roadmap in one meeting and debug an API in the next. You care about clarity, speed, and impact. You like talking to users, defining strategy, and writing clean, thoughtful code that makes ideas come alive. This isn't a "handoff" role. It's a chance to own products end-to-end, blending product leadership with technical depth on some of the most advanced AI systems in the world. ## What We Offer - **High-Impact, High-Ownership**: Your decisions will shape entire products, not just isolated components. - **Cutting-Edge AI Work**: LLMs, agentic workflows, RAG pipelines, semantic architectures — it's all part of the job. - **Elite Team**: Engineers from top universities and companies, collaborative and low-ego. - **Remote & Flexible**: We're results-driven, not hour-driven. - **Massive Variety**: You'll build across multiple industries, datasets, and problem domains.