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.
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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LangChain, OpenAI's API, and FastAPI power the tooling our developer relations team ships every week. Right now our API returns error messages written...
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Finance teams at our client companies lose days routing expense reports through the wrong approval chain, especially for edge cases involving multiple...
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Our incident response and runbook automation tools already help on-call engineers resolve issues faster once they're paged, but the handoff between sh...
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Our clients include regulated enterprises where every model deployment needs a documented sign-off trail, and reliability of that trail is non-negotia...
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Posted 2 months ago
United States — Los Angeles (UTC-7)
Our data pipelines for benchmark scoring are growing faster than the team keeping them organized. We're looking for someone to build the leaderboard l...
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Posted 2 months ago
United States — Chicago (UTC-5)
We help organizations hold their AI vendors to the same governance standards they hold themselves to. Arca Works already automates internal governance...
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Clients send us the same contract or claim document three or four times across a negotiation, each time with small edits, and right now our system tre...
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Have you ever shipped a UI change that accidentally broke screen reader navigation for someone who depended on it? That's the class of bug our clients...
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The audits you'll help build directly protect ordinary website visitors from having their data collected without real, informed consent — not just a c...
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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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