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LiteLLM

Open-source LLM gateway routing multiple providers

Machine Learning Engineer

AI Application Engineering +1Posted on Nov 11
Full-timeSan Francisco, CA, USA$200k - $250k /yrIn-person

About the Job

Requirements

  • Have 1–2 years of backend or full-stack experience with production systems.
  • Have experience working with the OpenAI API, including understanding the differences between /chat/completions and /responses and explaining API-specific nuances.
  • Have an interest in open source and user engagement.
  • Be able to work effectively in small teams and engage with users to solve problems.

Responsibilities

  • Ensure LiteLLM unifies the format for calling LLM APIs across the broader OpenAI and Anthropic specifications.
  • Write transformations that convert API requests from OpenAI and Anthropic specifications to various LLM provider formats.
  • Build provider-agnostic unification functionality, including session management across non-OpenAI models for the /v1/responses API.
  • Design support for provider-level features at the gateway level, including skills, compaction, and batches.
  • Improve the developer experience for millions of users leveraging the LiteLLM Python SDK.
  • Maintain an LLM interoperability layer across LLMs, MCPs, and agents, support a wide range of MCP authentication flows, and enable agent use cases.

About the Company

LiteLLM

Open-source LLM gateway routing multiple providers

LiteLLM provides an open-source gateway and Python SDK that connects to many LLM APIs through a single, OpenAI-compatible format. It acts as a universal translator for different AI schemas and enables swapping models with minimal code changes. Built on Python and FastAPI, it offers features like load balancing, automatic fallbacks, regional request prioritization, a cost/token dashboard, and observability integrations for monitoring latency and reliability. It uses a B2B open-core model, offering core routing and SDK for free while selling Enterprise features like SSO, RBAC, and team budgets to large, regulated organizations demanding data residency and strong operational control.

Company size
11-50
Company stage
Seed
Total funding
$630K
Headquarters
San Francisco, CA
Founded
2023

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