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.
Business teams ask the same data questions every week: "What was last month's revenue by region?" "How many support tickets are unresolved?" "Show me...
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A brand needs 150 ad creative variations per campaign: different headlines, body copy, CTAs, and visual descriptions for each platform (Instagram squa...
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Language learning apps need thousands of exercises — fill-in-the-blank, sentence reordering, translation prompts, listening comprehension — and each o...
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Product-led growth means the product sells itself — but only if you run the right experiments. Which onboarding flow converts more trial users? Does s...
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Healthcare organizations need to share patient data for research, but HIPAA requires removing 18 categories of protected health information first. Man...
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Not every question needs GPT-4. A simple classification task runs fine on a smaller model at 1/20th the cost. A code generation request needs a code-s...
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A data catalog is only as good as its metadata. If table descriptions are vague, column names are cryptic, and ownership is unassigned, the catalog be...
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Every wire transfer, trade finance deal, and customer onboarding triggers a sanctions screening check: is this person or entity on a prohibited list?...
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Content marketers know they should write about what their audience searches for. The problem is figuring out what that is, and more importantly, what...
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Tables in scanned documents are the bane of every document processing pipeline. A perfectly formatted PDF table becomes a jumbled mess after OCR — mer...
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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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