At a glance
Build LiteLLM’s AI gateway by unifying APIs across 100+ LLM providers, designing interoperability for LLMs, MCPs, and agents, and shipping infrastructure used by thousands of engineering teams.
Summarized by AI from the original posting
What you'll do
- Unify calling formats for OpenAI and Anthropic LLM APIs
- Write transformations between provider API formats
- Build provider-agnostic functionality and session management
- Design gateway-level support for provider features
- Improve developer experience for LiteLLM SDK users
- Maintain LLM interoperability across LLMs, MCPs, and agents
- Support MCP authentication flows and agent use cases
Requirements
- 01Passion for open source and user engagement
- 02Experience working with the OpenAI API
- 03Strong work ethic and ability to thrive in small teams
- 04Eagerness to talk to users and help solve real problems
Perks
Skills
Full 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 AI 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.
About LiteLLM
LiteLLM (https://github.com/BerriAI/litellm) is a Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI, Cohere] and is used by companies like Rocket Money, Adobe, Twilio, and Siemens.
Compensation: $170K - $220K
Experience: Any (new grads ok)