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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Posted 4 weeks ago
Still hiring an AI Systems Engineer — Computer Vision / Edge AI at LuxTronic. AI has changed how software gets built, and we use Claude Code, Codex, a...
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LlamaIndex, OpenAI embeddings, FastAPI and a Postgres-backed vector index sit underneath the 'Ask the docs' widget that runs on 450 developer document...
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Every time a client swaps a model version or tweaks a system prompt, something breaks and nobody notices for two weeks. Ravio Tech sells QA automation...
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Posted 1 week ago
United States — Chicago (UTC-5)
Our clients in insurance and public services still receive thousands of handwritten forms each week. Our document automation platform handles typed fo...
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PyTorch, Kubernetes, and a fleet of inference endpoints serving billions of requests a month are the core of what we build. If you've ever obsessed ov...
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We're building the next generation of receipt digitization tools for expense platforms operating across a dozen languages. Our current OCR pipeline ha...
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Figma, our internal component library, and our design QA checklist are the core of what our design systems team runs on. If you've ever wanted to auto...
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The models you'll ship will handle millions of search queries every week, many of which are typed wrong, phrased ambiguously, or missing key context t...
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Have you ever wanted to fix a process everyone complains about but nobody has time to rebuild properly? New hire onboarding at our client companies st...
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LangChain, the OpenAI API, and FastAPI are the core of what we build. If you like shipping tools that other engineers actually use every week, this ro...
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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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