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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GPS tells you to turn left in 200 meters. For someone who is visually impaired, that instruction is almost useless. Which left? Past the pole or befor...
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SaaS companies want to offer analytics to their users without building a data team. Our embedded analytics platform lets them drop intelligent dashboa...
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Developers hate writing docs. They hate outdated docs even more. Our platform generates API documentation automatically from source code, OpenAPI spec...
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E-discovery in litigation generates millions of documents that lawyers must review for relevance and privilege. At $50 per attorney hour, a single cas...
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Search quality is the difference between a product people love and a product people abandon. Our enterprise search platform serves 60 clients who've i...
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Robotic process automation handles the clicks. AI handles the decisions. Our platform combines both — bots that don't just follow scripts but make jud...
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We run 340 ML models in production for 28 clients, and every one of those models needs to stay online, fast, and accurate. When a model goes down at 2...
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Data teams waste 30% of their time just finding the right dataset. Our data catalog uses AI to automatically profile, tag, and document every table, c...
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Every student learns differently, but most edtech platforms serve the same content in the same order to everyone. Our adaptive learning system changes...
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When someone types "best pizza near me that's open late" into our search platform, 14 things need to happen before we return results: intent classific...
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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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