CareerPlan

ML Engineer

San FranciscoFull-time2026-11-11 → 2026-11-13

Core

Build a unified API gateway for LLMs that transforms requests between OpenAI/Anthropic specs and various provider formats.

Role type

ML Engineer (LLM Infrastructure)

Builds

Provider-agnostic unification functionality, session management, and interoperability layers for LLMs, MCPs, and Agents.

Domain

AI Infrastructure / LLM APIs

Deliverable

production ML models

Required skills

Python, LLM APIs, FastAPI, System Design, API Specification Knowledge (OpenAI/Anthropic), MCP Auth flows

Preferred skills

Open source contribution, User engagement, Small team collaboration

Technologies

Python, FastAPI, Redis, Postgres

Responsibilities

Write transformations to convert API requests between OpenAI/Anthropic specs and provider formats, Design system features at the gateway level, Build interoperability layers for LLMs, MCPs, and Agents, Support millions of users via the Python SDK

Seniority

Junior to Mid-level, hands-on IC