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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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Insurance claims arrive as PDFs, scanned letters, emails, photos of damaged property, and sometimes handwritten notes. Our platform turns all of this...
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Posted 4 months ago
United States — Los Angeles (UTC-7)
Rolling back a model version sounds simple until you realize the downstream impact. A recommendation model rollback might invalidate cached recommenda...
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Product changelogs say what changed. Documentation says how things work. When a changelog announces "Added support for batch processing in the /predic...
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Prompt injection is the input side of LLM security. Output guardrails are the other half — ensuring that model responses don't leak private training d...
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ESG reporting is a mess. Companies disclose environmental, social, and governance data in annual reports, sustainability filings, and investor present...
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Our knowledge graph contains 14 million entities and 89 million edges. Complex queries that traverse 4+ hops — like "find all companies linked to this...
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Posted 4 months ago
United States — New York (UTC-4)
The EU AI Act requires Algorithmic Impact Assessments for high-risk AI systems. Canada's AIDA has similar requirements. These assessments evaluate an...
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Support teams answer the same questions hundreds of times. Our FAQ generator analyzes support ticket history, identifies recurring question patterns,...
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Accessible interfaces aren't just about screen readers and color contrast. Cognitive accessibility matters too — interfaces that overwhelm users with...
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"Apple" in a tech article refers to a $3 trillion company. "Apple" in a nutrition article refers to a fruit. "Apple" in a Chinese article might appear...
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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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