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Staff Software Engineer, AI
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Based on California data
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What they do
A Software Developer or Engineer designs or improves computer software. Oversees the entire software development process. Analyzes customer or user needs, designs programs, writes code or instructs computer programmers, tests design, and documents programs. May assist with upgrades or maintenance. May specialize in the design of computer applications or computer systems.
$162,138 / year median in California
-13% projected decline
Job Description
Staff Software Engineer, AI at People In AI Staff Software Engineer, AI at People In AI in Daly City, California Posted in about 5 hours ago.
Type:
full-time
Staff Software Engineer, AI Compensation:
$280,000 - $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. The Role 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 Tech Stack Python, TypeScript Postgres, Temporal LLM APIs (e.g., OpenAI, Claude), vector databases Prompting libraries, orchestration tooling Why Join?
Zero-to-One AI :
Join during a full-stack AI rebuild from the ground up
Real Ownership :
Your work will ship fast and shape real-world outcomes Backed to
Win :
Strong investor support, high-trust environment Collaborative by
Default :
Work tightly with domain experts, designers, and PMs About People In AI We 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.