Hire FastAPI developers for APIs that stay fast under AI load
Our engineers have built FastAPI backends behind voice agents, webhook-driven trading tools and AI search. They work in your repo and your standups, and you interview them before anyone starts.
What you are getting
4 things that decide this
- 01Senior engineers only, each with FastAPI systems already running in production for named clients you can read about on this site.
- 02You interview every engineer before they join, so nobody is assigned to your team from a profile you never saw.
- 03They embed in your tools and your standups rather than working behind a ticket queue, and they stay on the same project instead of rotating.
- 04If the fit is wrong, say so and we replace the engineer. Every line they write is yours from the first commit.
What a FastAPI developer actually does here
Most FastAPI tutorials stop at a CRUD endpoint. The job here starts after that: keeping the API responsive once phone calls, webhooks and background jobs are all landing on it at once.
On ZhoopZhoop they built the FastAPI backend behind an AI voice receptionist. It stores call transcripts as Twilio and Deepgram stream audio in, and pushes live updates to a staff dashboard over WebSockets. On Trading CoPilot they built a webhook listener that takes TradingView alerts and enriches them with AI reasoning before messaging the trader. That order stops a slow or duplicate webhook from firing two trades. On Military Cruise Deals they ran FastAPI and LangGraph together. Session state lived in Redis, so a conversational search widget could sit inside a client's existing WordPress site.
Three different products, one repeated skill: keeping request handling fast while an AI call, a webhook or a queue runs alongside it.
What they take off your roadmap
Async endpoints that do not block
They know what belongs in a background task versus a queue worker, so one slow call to an AI model does not stall every other request on the same process.
Webhooks that survive retries
Signature verification and idempotency keys built in from the first commit, so a provider resending the same event does not double-book an appointment or fire a trade twice.
Background jobs that do not vanish
Celery and Redis, or FastAPI's own background tasks, chosen for what the job actually needs. A retry policy and a dead-letter path instead of a task that silently drops.
Serialisation that gets profiled, not blamed
When Pydantic validation shows up in a profile, they measure before changing the schema, instead of assuming the framework is the bottleneck.
- Scoping callFree. What you need built
- ShortlistEngineers matched to the work
- You interviewYour process, your bar
- EmbedYour repo, standups, tools
- ReviewSwap if the fit is wrong
The interview is yours. A marketplace that assigns a vetted profile is skipping the only step that predicts fit.
How hiring works
- 01
Tell us what is stuck
A free call about the API, the load it carries and the deadline. If FastAPI is the wrong answer to your problem, you will hear that on the call.
- 02
Meet the engineers
We shortlist people who have kept an async API fast under real traffic, and you interview them. Say no and we go back to the shortlist.
- 03
They embed
Your repo, your standups, your ticket system. One of our engineers owns the API and is named as the person accountable for it.
- 04
They hand over
Documentation, the queue and retry setup, and someone on your team trained to run it. Where a client would rather we kept watching it, we do that under a service level we agree. The first 2 months of support and maintenance are free, with every build.
Stack
API and workers
Data and infrastructure
AI and integrations
Practices
Tell us what your API is struggling with
Bring the endpoint that slows down and the traffic pattern behind it. The scoping call is free, and you will leave it knowing whether this is a code problem or a queueing problem.
01How is hiring a FastAPI developer here different from a freelancer or a job board?
You get an engineer who has already run FastAPI under real webhook and AI traffic, plus a company accountable if it goes wrong. A job board hands you a candidate and a hiring risk you carry alone. If our engineer is not right, we replace them, which is not a conversation you can have with a contractor you found yourself.
02Can they take over an existing FastAPI codebase, or only start fresh?
Yes. Most of our FastAPI work is adding AI or real-time features to a backend that already exists. They read the codebase, map where requests are blocking, and fix that before adding anything new.
03How much overlap do we get with our working day?
A daily overlap with your hours, fixed before anyone starts. Standups, reviews and pairing happen while both sides are awake, because debugging a webhook race condition is a conversation rather than a ticket. We agree the window during scoping and it does not move without you.
04Who owns the API and the infrastructure code once we are done?
All of it is yours from the first commit. That includes the FastAPI service, the worker configuration and any Terraform or deployment scripts written alongside it.
05What actually drives the cost of a FastAPI engagement?
How much of the load is asynchronous, more than the number of endpoints. A handful of clean CRUD routes is quick. Webhooks that must be idempotent, background jobs that must not be lost, and an AI call in the middle of a request are the work. Scoping calls are free. Where we have to get into an existing codebase before answering, a paid two-week diagnostic produces a fixed price rather than a guess.
