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.
RAG systems retrieve 20 chunks and hope the right one is in there. Ours retrieves 200 candidates and re-ranks them with a learned model that understan...
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Design systems enforce visual consistency across products — the same button styles, spacing rules, and color tokens everywhere. Our AI design system g...
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Vector search is easy at 1 million documents. At 500 million, everything breaks — index sizes exceed memory, query latency spikes, and the cost of re-...
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Professional translators reuse previous translations to maintain consistency — the same product name should be translated the same way every time, acr...
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Screen readers turn visual interfaces into audio, but they describe what elements are — 'button, image, link' — not what they do or why they matter. O...
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Engineering teams hate writing documentation but need it desperately. Our automation platform generates documentation from source code, commit histori...
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Our creative platform generates 2 million images per day for e-commerce product listings. Each request needs to match brand guidelines, maintain produ...
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Video game studios produce thousands of audio assets per title — footsteps on 20 surface types, weapon impacts at varying distances, ambient environme...
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Fourteen ML teams deploy models independently, and nobody knows what's in production. Model versions are tracked in spreadsheets. Rollback procedures...
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Accounts payable teams at mid-size companies process 3,000 invoices per month — matching each one against purchase orders, delivery receipts, and cont...
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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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