Staff AI Engineer

Staff AI Engineer Compensation: $200,000 - $310,000 basic salary + equityLocation: Bay Area (occasional travel to office)Join a mission-driven SaaS startup that’s reimagining how complex professional services are delivered. This is a high-ownership environment where AI isn’t an afterthought - it’s the foundation. With strong investor backing and a seasoned leadership team, they’re entering a new phase of growth, and AI is at the center of the rebuild!The MissionThis company is using automation and applied AI to modernize an industry riddled with manual workflows and inefficiencies. By combining domain-specific expertise with cutting-edge LLMs and RAG pipelines, they’re building intelligent tools that make expert work faster, smarter, and more consistent.The RoleYou’ll be part of a cross-functional AI task force reporting into engineering leadership, working closely with product, design, and infra. This is a hands-on, end-to-end role ideal for engineers who want to prototype, ship, and scale real features - not just build demos. You’ll split your time between user-facing copilots and the backend infra that powers them.What You’ll DoBuild LLM-powered assistants to streamline domain expert workflowsDesign RAG pipelines using structured and unstructured internal dataDevelop internal ML tooling for versioning, observability, and orchestrationTune prompts, build eval harnesses, and iterate based on real-world feedbackContribute to platform components that enable scalable experimentationWhat You’ll BringAmple experience in backend or systems engineeringExposure to applied AI systems (LLMs, NLP, RAG)Proficiency in Python; experience with distributed systems is a plusFamiliarity with embeddings, vector DBs, and prompt iterationAbility to move fast and own projects from idea through productionBonus: experience building eval frameworks or internal ML infraTech StackPython, TypeScriptPostgres, TemporalLLM APIs (e.g., OpenAI, Claude), vector databasesPrompting libraries, orchestration toolingWhy Join?Zero-to-One AI: Join during a full-stack AI rebuild from the ground upReal Ownership: Your work will ship fast and shape real-world outcomesBacked to Win: Strong investor support, high-trust environmentCollaborative by Default: Work tightly with domain experts, designers, and PMsAbout People In AIWe help top AI-first startups find and hire engineers who want to build lasting systems, not just one-off demos. Every role we post is technically challenging, high-impact, and vetted for long-term growth.