# Staff Software Engineer, AI at People In AI in San…

> Source: https://confidential.careers/job-detail/staff-software-engineer-ai-people-in-ai-san-francisco

# Staff Software Engineer, AI

People In AI 

** San Francisco, United States ** Full Time ** Technology Jobs ** United States ** New

[Apply Now](https://confidential.careers/go/15410292) ** Save 

## Job Description

**Compensation:** $250,000 - $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

- Python, TypeScript

- 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.

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Posted August 24, 2026