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.
Our clients have AI models. They also have CRMs, ERPs, data warehouses, and legacy systems held together by hope and FTP transfers. Your job: make the...
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We connect AI models to business processes for mid-market companies. Not the sexy part of AI — the plumbing. Data flows in, gets transformed, hits a m...
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Software has unit tests. ML models have... hopes and prayers? Not on our watch. Our model testing platform provides automated regression testing for M...
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When a knowledge graph changes — a new entity appears, a relationship type is deprecated, an ontology branch gets restructured — downstream applicatio...
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A model that's fair at deployment can become unfair within months as the population it serves shifts. Our monitoring platform continuously evaluates d...
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Translating a document is easy. Translating a live customer support conversation in under 200ms while preserving tone, technical terms, and brand voic...
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Before a brand spends $500K running an ad campaign, they'd like to know if the creative is any good. Our platform scores visual assets — display ads,...
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Knowledge bases rot. The moment you finish building one, the information starts going stale: products get discontinued, team members change roles, pol...
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Every AI model our clients deploy goes through our API gateway — 890 million requests per month across 200+ models. The gateway handles authentication...
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A typical mortgage application involves 150+ pages of documents: pay stubs, tax returns, bank statements, property appraisals, title reports, and insu...
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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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