1-2 years of backend/full-stack experience with production systems
Proficiency in Python and FastAPI
Familiarity with OpenAI API nuances
Strong work ethic and ability to thrive in small teams
Passion for open source and user engagement
Responsibilities
Ensure LiteLLM unifies the format for calling LLM APIs
Write transformations for API requests between OpenAI/Anthropic and other formats
Design systems to support provider-level features at the gateway
Enhance developer experience for millions of users via LiteLLM's Python SDK
Maintain an excellent LLM interoperability layer for various use cases
Benefits
Work directly with the founders every day
Build products used by thousands of engineering teams globally
Own meaningful product decisions beyond just implementation
Experience rapid deployment of your work in production
Help shape the future of AI infrastructure and developer tooling
Competitive salary, equity, health, dental, and vision benefits
Full Job Description
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:
System design for supporting provider level features at the gateway level (skills, compaction, batches, etc.)
Thinking about the developer experience - to support millions of users who leverage your work via LiteLLM's Python SDK
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
1-2 years of backend/full-stack experience with production systems
Passion for open source and user engagement
Experience working with the OpenAI api (understand the difference between /chat/completions and /responses, and can speak to API-specific nuances)
Strong work ethic and ability to thrive in small teams
Eagerness to talk to users and help solve real problems
Why Join LiteLLM?
Work directly with the founders every day.
Build products used by thousands of engineering teams around the world.
Own meaningful product decisions-not just implementation.
Move incredibly fast and see your work in production immediately.
Help define the future of AI infrastructure and developer tooling.
Competitive salary, equity, health, dental, and vision benefits.