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# AI Engineer

- **Company:** COMMODORE MARINE, LIMITED PARTNERSHIP
- **Location:** San Francisco, CA, United States
- **Experience:** Starter
- **Contract:** Permanent contract
- **Skills:** Adobe Creative Cloud, Application Programming Interfaces (APIs), Artificial Intelligence, Interoperability, Python (Programming Language), PostgreSQL, Open Source Technology, Redis, OpenAI, Session Management, Scripting, Large Language Models, Backend, Fastapi, LiteLLM, Api Design
- **Published:** November 4, 2026
- **Apply:** https://www.careerbuilder.com/job-details/ai-engineer-san-francisco-ca--d48e18cc-c252-4e05-b2da-5940d179feaa

## About the Role

Artificial Intelligence (AI), Adobe Product Family, Artificial Intelligence (AI), Application Programming Interface (API), Python Programming/Scripting Language, Use Cases, MCP - Microsoft Certified Professional, Interoperability, Production Systems, Open Source, * 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

## Description

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:

 * 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.