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Remote FastAPI Jobs

Browse vetted remote FastAPI positions — model serving APIs, LLM backend engineering, and production inference systems at companies shipping real AI products.

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Remote worldwide
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AI Backend Engineer ML Platform Engineer LLM API Engineer Model Serving Engineer Python Backend Developer

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Jobs & Projects

Tensorwave
Full-time
English
python docker node.js react kubernetes +2 more
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Prolific
senior
Full-time
English
python sql mlops kubernetes typescript +2 more
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Nebius
Full-time
English
$180K – $224K / year
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Parloa

Posted 2 days ago

Staff Software Engineer

staff
Full-time
English
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S
staff
Full-time
English
$230K – $360K / year
machine learning python pytorch pandas generative ai +13 more
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Unstructured
Full-time
English
nlp python docker aws generative ai +10 more
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Vapi
staff
Full-time
English
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Runpod
Full-time
English
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OpenAI
Full-time
English
python distributed systems fastapi typescript
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Wayve
principal
Full-time
English
spark airflow kubernetes distributed systems mlflow +1 more
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Role guide

What to expect in remote FastAPI jobs

FastAPI has become the default framework for serving AI models and LLM applications in Python, largely because its async support and automatic validation fit naturally with inference workloads. Remote FastAPI jobs at AI companies usually mean building the API layer between a model and the rest of a product — handling streaming responses, request batching, and production reliability, not just wrapping a model in an endpoint.

What you'll work on

  • Build streaming API endpoints for LLM chat and completion responses
  • Serve ML models in production with async request handling and batching
  • Design internal APIs that connect model inference to product backends
  • Implement request validation and rate limiting for public-facing AI APIs

What companies look for

  • Async/await proficiency — most AI serving workloads are I/O-bound
  • Experience with Pydantic for request/response validation
  • Production deployment behind Uvicorn/Gunicorn, often containerised with Docker

Frequently asked questions

What remote FastAPI jobs are posted on RemoteAI?

Mostly AI backend and model-serving roles — building the API layer for LLM products, ML inference endpoints, and internal tooling that connects models to the rest of a product. Most require production Python experience beyond basic CRUD APIs.

Why do AI companies prefer FastAPI over Flask or Django?

Native async support handles the I/O-bound nature of model inference and streaming LLM responses well, and built-in Pydantic validation reduces boilerplate for the structured request/response formats AI APIs typically need.

Do FastAPI jobs require ML experience, or just backend skills?

It varies. Some roles are pure backend engineering — you serve models built by others. Others expect you to understand model behavior well enough to design sensible APIs around it (batching, timeouts, streaming). Check individual listings for the split.

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