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.
Every infrastructure change carries risk — but most organizations approve changes based on gut feel and verbal assurances. The engineer says the firew...
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Posted 4 months ago
United Kingdom — London (UTC+1)
Regulatory sandboxes — formal programs where financial services and fintech companies can test AI products with limited regulatory oversight before fu...
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Our voice agents operate in call centers, retail environments, and healthcare settings where background noise, acoustic reflections, and overlapping s...
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Government procurement data is public but nearly unusable. Tender documents are PDF attachments with inconsistent formatting. Contract award notices v...
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Posted 4 months ago
United States — New York (UTC-4)
The EU AI Act requires organizations to maintain model cards, risk assessments, and transparency documentation for every AI system they deploy. Most c...
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Customer feedback arrives in text, audio recordings, and support chat transcripts — and currently each channel lives in a separate tool analyzed by a...
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Legal agreements reference regulations by name. When the regulation changes, every agreement that references it may need amendment — but manually trac...
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Ethics hotlines receive thousands of reports per year — misconduct allegations, financial irregularities, safety concerns, HR complaints. Today, compl...
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When a serverless ML function takes 800ms instead of 200ms, is it a cold start? A memory pressure issue? A network round-trip to a bloated dependency...
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SOC 2 audits require evidence collection from 60 to 200 different controls depending on scope. Most of that evidence — access logs, change management...
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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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