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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Designers hand off pixel-perfect Figma files. Developers spend 3 days turning them into responsive code that never quite matches the design. Our tool...
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An insurance claim arrives with a stack of documents — medical records, police reports, repair estimates, photos — and someone needs to figure out whi...
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A brand crisis on social media can go from zero to catastrophic in 90 minutes. A product recall gets posted, an executive makes a controversial statem...
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Retail stores generate thousands of hours of security footage every day, and 99.9% of it is never watched. Our platform turns that footage into action...
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We build AI-powered customer support tools for mid-size SaaS companies. Our product takes a company's help docs, API references, and past support tick...
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We build AI tools that make digital content accessible to people with disabilities. Our platform automatically generates alt text for images, creates...
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When a traditional API returns a 500 error, you know something broke. When an AI model starts giving subtly wrong answers, nobody notices until the da...
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Developer portals are where API adoption lives or dies. Ours has documentation, code examples, a playground, and usage dashboards — but developers sti...
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Our ML platform has 3,200 active users who build and deploy models. They keep asking for the same things: a custom data connector, a specific preproce...
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When three annotators label the same image, they disagree 35% of the time. The naive approach — majority vote — ignores the fact that some annotators...
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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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