Custom AI Backends
Production-grade FastAPI/Python backends that put AI features behind a fast, typed, well-tested API, built to scale past a prototype.
A lot of AI prototypes never make it to production because the backend was never built to carry real traffic. We build FastAPI services designed for production from day one: typed request/response contracts, async processing for long-running AI calls, proper rate limiting and caching, and a deployment pipeline that doesn't require a platform team to operate.
What's included
- FastAPI service design: typed schemas, async task queues, caching
- Model/provider integration (OpenAI, Anthropic, open-source, or self-hosted)
- Authentication, rate limiting, and cost controls
- CI/CD pipeline and containerized deployment
- Load-tested before launch, monitored after
How it works
- 01Scope the APIDefine the contract: endpoints, latency budget, expected load, and cost ceiling.
- 02BuildFastAPI + async workers, with typed schemas end-to-end and test coverage on the critical paths.
- 03Load testTraffic-tested against realistic concurrency before it ever sees production.
- 04Deploy & monitorContainerized deploy with logging/alerting on latency, errors, and model spend.
Stack
FastAPIPythonPostgreSQLRedisDocker