Remote positions
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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Full-time roles and fixed-scope freelance missions — matched to your AI skills.
We believe public records requests shouldn't take county clerks three weeks to fulfill because every document has to be manually redacted for personal...
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PyTorch models come and go on our benchmarking platform, but the documentation describing what each one actually does rarely keeps up, which frustrate...
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We serve over 400 API partners whose client SDKs are built against our contract, and every API update risks quietly breaking some subset of those SDKs...
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You'll be the fourth engineer on a team of nine, and we don't care where you work from as long as the work gets done and communication stays clear. Ou...
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Posted 2 months ago
United States — Chicago (UTC-5)
We're building the compliance layer that customer-facing chatbots have been missing for years. Right now, most support bots skip legally required disc...
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We serve over 200 marketplace sellers whose buyer disputes currently take an average of four days to resolve by a human agent reading through message...
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Posted 2 months ago
United States — Chicago (UTC-5)
We don't care where you work from. We care about output, clear communication, and whether captions land on screen at the moment someone actually needs...
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Context windows, tool routing, and multi-agent orchestration are the core of what we build. If you've debugged a production incident caused by an agen...
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Git, large monorepos, and a fastapi-based suggestion service are the core of what we build. If you've ever watched a senior engineer burn an afternoon...
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Our team works async across 9 time zones, and we trust engineers to work from wherever they're most productive as long as they document their reasonin...
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Role guide
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 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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