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Founding Backend Engineer

San Francisco,...
L

LiteLLM

Startup
Category
Technical
Experience
0-3 years
Type
Full-Time
Location
San Francisco, CA, US
Salary
$160,000 - $220,000
Job Description
Benefits & Culture
Flexible hours
Remote work
Paid time off
Fast-paced environment
Direct feedback
Growth opportunities
This goes straight to the founder
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No recruiters. Founders reply directly.

Founder Signals
Response Rate
85%
Avg Response Time
2 hours
Compensation Calculator
In startups, higher salary usually means lower equity.
Salary (affects equity %)
Link salary ↔ equity
$125,000
$160,000$220,000
Equity % (auto from trade-off model)
1.19%
0%5%
Projected Exit Value
$350,000,000
$10M$500M
Live Trade-off
Salary
Equity %
Est. Equity Value at Exit
$100,000
1.19%
$2,082,500
$125,000
1.19%
$2,082,500
$150,000
1.19%
$2,082,500
$175,000
1.02%
$1,785,000

Advanced Salary & Equity Calculator

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About the role

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 founding full-stack engineer to help scale the platform. We’re based in San Francisco.

What is LiteLLM?

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.

Why do companies use LiteLLM enterprise?

Companies use LiteLLM Enterprise once they put LiteLLM into production and need enterprise features like Prometheus metrics (production monitoring) and need to give LLM access to a large number of people with SSO (secure sign on) or JWT (JSON Web Tokens).

What you will be working on

As a Founding Backend Engineer, you'll be responsible for ensuring LiteLLM unifies the format for calling LLM APIs in the OpenAI spec. This involves writing transformations to convert API requests from OpenAI spec to various LLM provider formats. You'll work directly with the CEO and CTO on critical projects including:

  1. Migrating key systems from httpx to aiohttp for 10x higher throughput
  2. Adding support for Anthropic and Bedrock
  3. Anthropic 'thinking' parameter
  4. Handling provider-specific quirks like OpenAI o-1 streaming limitations
  5. Scaling aggregate spend computation for 1M+ logs
  6. Implementing cost tracking and logging for Anthropic API

What is our tech stack?

The tech stack includes Python, FastAPI, JS/TS, Redis, Postgres, S3, GCS Storage, Datadog, and Slack API.

Who we are looking for?

  1. 1-2 years of backend/full-stack experience with production systems
  2. Passion for open source and user engagement
  3. Experience scaling high-performance infrastructure
  4. Strong work ethic and ability to thrive in small teams
  5. Eagerness to shape growing infrastructure