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 sketch wireframes. Developers build prototypes. The handoff between them wastes days of back-and-forth on every feature. Our tool eliminates...
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Our creative platform serves 600 marketing agencies who produce thousands of ad variants every month. The agencies love our AI-assisted copy generatio...
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Matching patients to clinical trials is a needle-in-a-haystack problem multiplied by regulatory complexity. There are 450,000 active trials globally,...
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Our clients are mid-size law firms drowning in repetitive document work — contract review, due diligence, regulatory filings. They've tried hiring mor...
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Our ML engineers ship great models. Getting those models into production used to take 3 weeks and a prayer. We've cut it to 5 days, but we want same-d...
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Categorizing a bank transaction sounds simple until you realize that "AMZN*2847XJ" could be groceries, electronics, or a subscription renewal — and yo...
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Our analysts spend 6 hours a day reading reports, cross-referencing entities, and building intelligence briefs. We want to cut that to 2 hours by auto...
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We just launched our internal ML platform six months ago, and adoption is growing faster than we expected. Thirty data scientists across three product...
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When a production incident happens, the first 15 minutes determine whether it's a minor blip or a customer-facing outage. Our platform automates the b...
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Our voice synthesis platform can clone a speaker's voice from 30 seconds of audio. That capability is incredibly useful for accessibility, content cre...
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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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