
ML Engineer
San Francisco, CAFull-time$200–250K/yrPosted 3 days agoStill listed 3 days ago
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At a glance
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Job overview
LiteLLM seeks an ML Engineer to unify LLM API formats, design provider‑level features, and enhance developer experience for its widely used AI gateway. The role involves building transformation layers, managing sessions across models, and collaborating directly with the CEO and CTO to deliver fast, production‑ready solutions for thousands of users.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
LiteLLM is the world's most popular AI Gateway, trusted by companies like Adobe, Netflix, and NASA. We're building the next generation of infrastructure for AI applications—and now we're building our second product.
What you will be working on Skills: Python, LLM APIs, FastAPI As the ML Engineer, you'll be responsible for ensuring LiteLLM unifies the format for calling LLM APIs in the broader OpenAI + Anthropic spec. This involves writing transformations to convert API requests from OpenAI/Anthropic spec to various LLM provider formats, building provider-agnostic unification functionality (e.g. session management across non-openai models for /v1/responses API, etc.). You'll work directly with the CEO and CTO on critical projects including:
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System design for supporting provider level features at the gateway level (skills, compaction, batches, etc.)
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Thinking about the developer experience - to support millions of users who leverage your work via LiteLLM's Python SDK
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Building across LLM's, MCP's, and Agents by maintaining an excellent LLM interoperability layer, supporting a wide range of MCP Auth flows and enabling various Agent use-cases
What is our tech stack The tech stack includes Python, FastAPI, Redis, Postgres.
Who we are looking for
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1-2 years of backend/full-stack experience with production systems
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Passion for open source and user engagement
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Experience working with the OpenAI api (understand the difference between /chat/completions and /responses, and can speak to API-specific nuances)
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Strong work ethic and ability to thrive in small teams
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Eagerness to talk to users and help solve real problems
Why Join LiteLLM?
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Work directly with the founders every day.
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Build products used by thousands of engineering teams around the world.
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Own meaningful product decisions—not just implementation.
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Move incredibly fast and see your work in production immediately.
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Help define the future of AI infrastructure and developer tooling.
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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 love talking to users, building products, and shipping software that people actually use, we'd love to meet you.
How this job compares
Set against the 328 open ML Engineer jobs on Olive Jobs, counted November 15, 2026.
- Pay
- This posting$200–250K/yr
- California median$165–261K/yr93 salary ranges
- US median$144–235K/yr254 salary ranges
This range's midpoint, $225K, is close to the California median midpoint ($220K) — in the middle half of ML Engineer salary ranges in California.
- Openings
- Olive Jobs lists 132 open ML Engineer jobs in California and 328 across the US. 5% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 1 year of experience — less than three in four ML Engineer postings that state a minimum ask for (median 5 years, across 264 postings).
- Education
- 179 of the 328 open ML Engineer jobs (55%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 15, 2026. Figures based on too few postings are left out.
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