Hiring: Staff AI Engineer Company: People In AI Location: San Francisco Bay Area Job Posted Time: 2026-09-15 18:02:23 Target Skills & Keywords : HBase, LLM, Make, Move, NLP, OpenAPI, PostgreSQL, Python, RAG, SaaS, TypeScript About the job Required Skills: •You’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 Do •Build LLM-powered assistants to streamline domain expert workflows •Design RAG pipelines using structured and unstructured internal data •Develop internal ML tooling for versioning, observability, and orchestration •Tune prompts, build eval harnesses, and iterate based on real-world feedback •Contribute to platform components that enable scalable experimentation •What You’ll Bring •Ample experience in backend or systems engineering •Exposure to applied AI systems (LLMs, NLP, RAG) •Proficiency in Python; experience with distributed systems is a plus •Familiarity with embeddings, vector DBs, and prompt iteration •Ability to move fast and own projects from idea through production •Bonus: experience building eval frameworks or internal ML infra •Python, TypeScript Compensation: •$275,000 - $300,000 basic salary + equity •Location: •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 Mission •This 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. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!