New: How we build — modern AI tooling, strict guardrails, every line reviewed by a person. Read our engineering practices →New: How we build. AI tooling, strict guardrails, human review. Read more →

FastAPI

Hire senior FastAPI experts

We build high-performance, async Python APIs with FastAPI, clean, well-typed, and fast, that power products from first version to serious production scale.

1–2wks
to project kickoff
2–4wks
to first working software
100%
code & IP ownership
6–10yrs
average engineering experience

Whether you're building a new API-first product, adding a high-performance service to an existing system, or replacing a slow legacy backend, we design and build the FastAPI services underneath it.

Custom FastAPI Development Services

We design and build high-performance async Python APIs with FastAPI, well-typed contracts, clean service boundaries, and delivery that keeps your product moving from first version to serious production scale. We treat backend work as an engineering discipline, not a framework checkbox.

High-performance async APIs built around your data models and real workflows, not generic scaffolding. We shape endpoints, schemas, and service boundaries to how your product actually behaves.

How we help

We model your domain first, agree typed contracts up front, and ship working endpoints in reviewable increments you can integrate against early.

REST and async APIs with clean service boundaries and well-typed contracts, designed to be easy to consume, evolve, and operate.

How we help

We publish OpenAPI schemas, version them deliberately, and document request/response contracts so client teams are never guessing.

Replacing slow or ageing backends with fast, maintainable FastAPI services, in safe, reversible stages rather than a risky big-bang rewrite.

How we help

We wrap or strangle the old system incrementally, run old and new side by side, and cut over route by route so the business keeps running.

Event-driven and concurrent services that hold up under real load, built on Python's async model and FastAPI's ASGI foundation.

How we help

We design for back-pressure and concurrency limits up front, load-test against realistic traffic, and tune before it reaches production.

Serving models and data pipelines through fast, reliable FastAPI endpoints, with validation, versioning, and monitoring built in.

How we help

We standardise input validation with Pydantic, version model endpoints, and wire in latency and accuracy monitoring so serving stays dependable.

Profiling and tuning for latency, throughput, and cost, finding the real bottlenecks instead of guessing at them.

How we help

We profile hot paths, tune database access and serialization, add caching where it earns its keep, and measure the before-and-after honestly.

OAuth2, JWT, role-based access, and secure-by-default API design, so auth is built into the architecture rather than bolted on.

How we help

We implement standard flows correctly, enforce least-privilege scopes, and treat input validation and rate limiting as first-class concerns.

Connecting FastAPI services to databases, queues, third-party APIs, and existing systems, with retries, idempotency, and failure handling designed in.

How we help

We document retry and dead-letter behaviour, make integrations idempotent, and design fan-out and back-pressure deliberately rather than discovering them in production.

Case study

Relait — automating investor relations with FastAPI

We turned slow, manual, reactive investor-relations work into an intelligent, proactive platform, with FastAPI services at its core.

FastAPIPythonPostgreSQLCeleryRedis
Weeks → days
to prepare investor communications

FastAPI experts, AI-augmented

These are the AI coding tools our engineers use to ship faster and keep code clean, distinct from the AI systems we design and build for you.

UvicornPydanticSQLAlchemyPostgreSQLRedisCelerypytestDocker

We use these tools inside strict guardrails, every line is reviewed by a person. See how we build →

1

Senior FastAPI engineers

Senior Python engineers with deep, hands-on FastAPI experience building production APIs at scale.

2

Proven across industries

Our teams have delivered backend work across healthcare, finance, proptech, and logistics, bringing domain awareness and hard-won patterns to every engagement.

3

Enterprise-ready delivery

We hold high standards for security, testing, and documentation, and can scale a team up or down without sacrificing speed or quality.

The FastAPI toolset

The FastAPI ecosystem we build with, grouped by what it does and chosen deliberately from experience. Pick an area to see what we reach for and why.

FastAPI runs on ASGI, so we pick the server and worker model to match the workload. We standardise process management and graceful shutdown rather than leaving it to defaults.

Uvicorn
Gunicorn
ASGI
HTTPX

Typed contracts and predictable data access keep services maintainable. We lean on Pydantic for validation and SQLAlchemy or async ORMs for persistence, with migrations under version control.

Pydantic
SQLAlchemy
Alembic
async ORMs
OpenAPI

We choose stores deliberately and write the reasoning down, indexing strategy, access patterns, and lifecycle. Relational by default, with document and key-value stores where they earn their place.

PostgreSQL
MySQL
MongoDB
Redis

Slow and scheduled work belongs off the request path. We move it to queues and workers with retries and idempotency, so the API stays responsive under load.

Celery
task queues
async workers
cron/schedulers

Caching is applied where it measurably helps, not sprinkled everywhere. We cache at the right layer, set sensible TTLs, and guard against stale reads.

Redis
async caching
response caching
connection pooling

We treat tests and types as part of the contract. Schema validation, static typing, and a fast test suite catch regressions before they reach production.

pytest
type checking
OpenAPI/schema validation
coverage

Auth is designed into the service, standard flows implemented correctly, least-privilege scopes, and validation and rate limiting treated as first-class.

OAuth2
JWT
role-based access
rate limiting

Every change is containerised, tested, and promoted through a pipeline. We ship reproducible images and deploy to the cloud target that fits the team.

Docker
CI/CD
cloud deployment
Kubernetes
Engagement

How you'd work with us on FastAPI

Pick the level of ownership that suits you. We shape the engagement around your goals.

1

Staff augmentation

Add senior FastAPI engineers to a team you already have.

2

Dedicated team

A committed FastAPI team that runs like your own.

3

Full delivery

Hand over the build and we deliver it end to end.

Explore engagement models

FastAPI FAQ

Unsure which stack suits your build?

Tell us what you're building, and we'll help you pick and build with the right stack.

Book a discovery call