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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We process live game data for 8 professional sports leagues and build the analytics dashboards that front offices, coaches, and broadcast teams use to...
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Our clients' support teams are buried. The median company on our platform receives 3,400 support tickets per month, of which 38% are questions already...
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We process 400 million API calls per day across our platform, and when something goes wrong — a latency spike, an unexpected error rate, a model retur...
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During a P1 incident, every minute of mean time to resolution costs real money. Our platform monitors 220 enterprise customers' production environment...
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Data mesh architectures distribute data ownership to domain teams — but without centralized governance, you end up with 40 teams producing 40 incompat...
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Real estate listing descriptions are the worst. Every third one says 'charming' and 'move-in ready.' Our clients are residential brokerages and iBuyer...
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Insurance claims processing runs on forms: ACORD forms, CMS-1500s, UB-04s, custom state-specific variants. Our clients process 40,000 form submissions...
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ESG scoring is broken. Most providers use the same reported data, apply the same methodologies, and produce scores with a 0.61 correlation to each oth...
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Contract management is 80% mechanical and 20% judgment. The mechanical parts — clause extraction, obligation tracking, renewal date alerting, counterp...
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Pixel-diff visual regression catches when something changed. What it doesn't tell you is whether the change matters. A layout shift of 2px on a deskto...
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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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