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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Stolen credentials, leaked databases, and attack planning happen on dark web forums days or weeks before they affect our clients. Our monitoring syste...
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Annual compliance training is universally dreaded. Employees click through 45 minutes of generic slides, answer a quiz without reading, and learn noth...
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Posted 4 months ago
United States — New York (UTC-4)
"Your loan was denied" tells the applicant nothing. "Your loan was denied because your debt-to-income ratio is 45%; if it were below 38%, you would ha...
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LLM API costs are unpredictable. A single runaway prompt chain can consume $500 in tokens before anyone notices. Our token budget management system gi...
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After every production incident, someone has to write the post-mortem: what happened, when it happened, what the impact was, what the root cause was,...
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Posted 4 months ago
United Kingdom — London (UTC+1)
AI regulations are being drafted, debated, and enacted in 40+ countries simultaneously. A compliance officer at a multinational company needs to track...
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City budgets are public documents that nobody reads because they're 400-page PDFs filled with account codes, fund transfers, and allocation tables tha...
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Thirteen models in production. Four different deployment patterns. Zero standardization. That's where we are today, and that's exactly the problem you...
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We build the APIs that connect AI models to business applications. Not the models themselves — the plumbing around them. Authentication, rate limiting...
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Forty thousand hotel guests interact with our AI concierge every month — asking about room service hours, requesting late checkouts, booking spa appoi...
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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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