Applying for Staff Engineer, AI at LiteLLM? Compare this live job with your resume first.

🎯 Tailor my resume
←Jobiba.Me
L
Active13h ago

Staff Engineer, AI

LiteLLM·📍 San Francisco, California, United States

Employment

FULL TIME

Work mode

On-site

Experience

3+ years

Salary

$250K – $350K/yr

Pay vs market · Top quarter

This job's pay ($300,000 a year at the midpoint) is higher than over 90% of 8 salary-listed Staff Engineer jobs in San Francisco in the last 12 months; their median is $248,750.

Salary data →

Role overview

Job description

LiteLLM is the world’s most popular AI Gateway, trusted by companies like Adobe, Netflix, and NASA. We’ve grown ARR 6x in the last year to nearly $30M with a team of 20, and developers use LiteLLM to call 100+ LLM providers through one API. We're looking for a Staff Engineer to lead our unified API team and make sure every new model and provider works with LiteLLM on day one. About the role This is a hands-on technical lead role. You'll own how LiteLLM unifies LLM APIs across the OpenAI and Anthropic specs, lead the engineers who build it, and set the bar for what good looks like. Every week a provider ships something new: a new API, a new modality, a new feature. The promise of LiteLLM is that it works with all of them on day one. Your job is to keep that promise: new endpoints ship on day one, open source translation issues go down, and developers can count on LiteLLM to keep up. You’ll lead our open source pod, where most issues are LLM translation issues. You’ll report to the CEO, and later to our Head of Engineering. This role is in person in San Francisco. We help with relocation and support H-1B transfers. Responsibilities Lead the unified API team and own new model, endpoint, and provider rollouts end to end. Design provider-agnostic features at the gateway level, such as session management for non-OpenAI models. Triage open source issues and outside PRs (new providers, translation fixes) and get them merged, reviewed, or replaced with an internal fix. Review the AI team's PRs and hold a high bar for code quality, including code written with AI. Find the power users in your area and use what they need to decide what to build next. Take on new unification bets with a customer who will use them and give feedback. Own the developer experience for everyone who uses LiteLLM's Python SDK and proxy. What is our tech stack The tech stack includes Python, FastAPI, Redis, Postgres. We're moving the gateway to Rust. What we're looking for You've been a machine learning engineer and now build applied AI products. 3+ years of experience. The scope you've owned matters more than a Staff title. Deep expertise in LLM APIs. You can speak to the differences between /chat/completions and /responses, and to each provider's nuances. Experience building or maintaining a unified API that sits in front of many providers. Taste in developer experience. You can tell when an API or playground is bad and explain why. Customer empathy. You ask why a user wants something and how big the use case is before you build it. Ready to lead a team from day one and set the technical bar yourself. Strong software engineering fundamentals in Python. Bonus points Experience at a company built on a unified API, such as OpenRouter, Vercel AI SDK, Merge, Segment, or Fivetran. You've built your own unified API or written about what a good one should do. You've built evals for LLMs. You've used LiteLLM in production. Open source contributions, especially to LLM tooling. Why join LiteLLM? Work directly with the founders every day. Lead the team behind the core of the product: the unified API thousands of engineering teams depend on. Own a whole area of the product. We don't have PMs: engineers talk to customers and decide what to build. Your work ships in open source, used by engineering teams around the world. Move incredibly fast and see your work in production immediately. Competitive salary, equity, health, dental, and vision benefits. About LiteLLM LiteLLM is the world's most widely adopted AI Gateway. We provide a unified API for 100+ LLM providers along with routing, authentication, budgets, observability, and governance for production AI systems. Thousands of companies rely on LiteLLM to power AI in production. If you want to lead the team that keeps LiteLLM ahead of every model launch, we'd love to meet you.

More like this

About this listing

  • Source: LiteLLM's official careers site · still listed there on 10 Nov 2026
  • Posted 9 Nov 2026

Jobiba does not charge job seekers. Never pay to apply or share OTPs, card or bank details.

Role market pulse

How STAFF ENGINEER demand looks in United States

69/100 · rising

Live jobs

182

Posted 30d

158

30d movement

+1028.6%

Remote share

12.1%

Salary listed

84.1%

Salary trend 1Y

Not enough history

What they are looking for

Skills & requirements

Qualification

We’ve grown ARR 6x in the last year to nearly $30M with a team of 20, and developers use LiteLLM to call 100+ LLM providers through one API; You'll own how LiteLLM unifies LLM APIs across the OpenAI and Anthropic specs, lead the engineers who build it, and set the bar for what good looks like; You’ll lead our open source pod, where most issues are LLM translation issues; 3+ years of experience

Department · Engineering

Hiring company

LiteLLM

Education

Put your full AI stack behind one key. Track and cap LLM spend, route to the right model, and self-host anywhere — even air-gapped. 140+ providers, 1,892 models, 60K+ GitHub stars.

Related opportunities

Similar active roles

Relevant, currently active roles for this market.

All jobs →
NS
San Francisco, California, United States· Full-time· Remote
Top 25% pay

$270K – $300K/yr

● Top 25% pay versus similar roles

🔔 Get job alerts

New Engineer jobs in San Francisco, California, United States, straight to your inbox.

No spam · Unsubscribe anytime

Jobiba never asks job seekers for money. Stay safe