Backend Performance Engineer at LiteLLM

LiteLLM is an open-source LLM Gateway with 28K+ stars on GitHub and trusted by companies like NASA, Rocket Money, Samsara, Lemonade, and Adobe. We’re rapidly expanding and seeking a performance engineer to help scale the platform to handle 5K RPS (Requests per second). We’re based in San Francisco. LiteLLM provides an open source Python SDK and Python FastAPI Server that allows calling 100+ LLM APIs (Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic) in the OpenAI format We just hit $2.5M ARR and have raised a $1.6M seed round from Y Combinator, Gravity Fund and Pioneer Fund. You can find more information on our website , Github and Technical Documentation. We're hiring a Python performance engineer to own maximizing throughput, minimizing latency and ensuring our platform is reliable in production. Roadmap for Performance Engineer: By end of this year our RPS and latency overhead should be at parity with industry benchmarks. Cover stream + non-stream for /chat/completions, /completions, /embeddings, /realtime, /audio/transcriptions Reduce e2e overhead latency for cache misses. Currently at 100ms-500ms - ensure we meet industry standards. Reduce e2e overhead latency for cache hit