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.
We run the AI workflow layer for 300+ operations teams, processing 40M+ tasks per month. SLA adherence is the metric our clients care about most — and...
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As a distributed team with no headquarters, we've built everything async — our standups, our product reviews, even our board reports. The last thing t...
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Kafka, PyTorch, and a real-time sports data stream from 1,200 live events per week are the foundation of this role. If you've built models that need t...
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Posted 3 months ago
United States — Los Angeles (UTC-7)
We believe AI accountability starts at explanation — not at policy. Most organizations deploying AI models can generate SHAP values or attention maps....
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We're rethinking KYC from first principles — not as a form-filling exercise, but as an intelligent system that builds a verified ownership picture of...
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We serve 800+ enterprise procurement teams that rely on our platform to review, approve, and track supplier agreements. Most of their risk currently l...
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Posted 3 months ago
United States — New York (UTC-4)
You'd join a CX engineering pod of 8 people who've spent two years building our AI-powered customer success platform. We automate onboarding, track he...
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Earned media — press coverage, analyst mentions, third-party reviews, social shares by non-paid accounts — is marketing that brands don't pay for dire...
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Posted 3 months ago
United States — New York (UTC-4)
Search queries arrive misspelled, abbreviated, using inconsistent terminology, and mixing technical and colloquial names for the same concept. A user...
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Mutation testing is the gold standard for measuring test suite quality: introduce small synthetic bugs (mutations) into the source code and measure wh...
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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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