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Python backends and AI features built for production

Python backends and AI features built for production

Python backends and AI features built for production

Django and FastAPI APIs, LLM features, data pipelines and automation, built by senior engineers who test, monitor and ship what they write.

Django and FastAPI APIs, LLM features, data pipelines and automation, built by senior engineers who test, monitor and ship what they write.

15 years

Shipping software

Django + FastAPI

APIs, AI, data

U.S. hours

Nearshore from Mexico

uv run pytest

$ make ci

✓ ruff: clean

✓ mypy: strict

✓ pytest: passed

✓ llm evals: passed

deploy

● api → fastapi

● workers → celery

Flow, the MagmaLabs mascot, holding the Python logo

Your timezone

Python 3.12+

Why MagmaLabs for Python

Python that survives production

Python that survives production

Python that survives production

Python makes it easy to get something working. We make sure it keeps working when real users, real data and real bills arrive.

01

Production code, not notebooks

Packaged, typed services with CI, logging and deploys, not scripts that only run on one laptop.

02

AI that holds up

Retrieval, evaluations, guardrails and cost controls, so LLM features behave the same on day 90 as in the demo.

03

Full stack, one team

The same engineers build the React or Next.js frontend and the infrastructure, so the API never waits on another vendor.

04

Types and tests

Type hints checked by mypy, pytest and Ruff in CI from week one. Refactors stay safe as the codebase grows.

Our Python services

What we build with Python

What we build with Python

What we build with Python

Product backends, AI features and the data and automation work around them.

Backends

Django & FastAPI APIs

REST and GraphQL APIs, auth, admin tools and background jobs on Django or FastAPI, designed for real traffic.

Django

FastAPI

DRF

AI & LLM

Most requested

AI features in production

Chat, search, document processing and agents on OpenAI, Anthropic or Gemini, with retrieval over your data, evals and cost monitoring from day one.

RAG

Evals

pgvector

Agents

Data

Data pipelines & ETL

Ingestion, transformation and scheduled jobs that move data between your app, your warehouse and third-party APIs reliably.

Airflow

dbt

Polars

Automation

Integrations & automation

Services that replace manual work: webhooks, partner integrations, scrapers and back-office workflows.

Webhooks

Celery

Playwright

Upgrades

Python & Django upgrades

Move off unsupported Python and Django versions, replace abandoned dependencies and add the tests that make upgrades safe.

Python 3.12+

Django 5

Dependency audit

Upkeep

Maintenance & performance

Query tuning, async where it pays off, error monitoring and support for Python services already in production.

Sentry

Profiling

PostgreSQL

Engagement models & pricing

Three ways to work with us

Three ways to work with us

Three ways to work with us

Published prices, so the first call is about your product, not our rates.

Most requested

Team Embed

From

$8,500

/ engineer / month

Senior Python developers in your Slack, standups and repo, working your hours. Monthly, with 30 days notice. Start in 1 to 3 weeks.

Staff augmentation →

Scoped project

API, AI feature or pipeline

Fixed price

after scoping

A new backend, an AI feature or a data pipeline delivered by our team, with scope and milestones agreed up front.

Describe your project →

Already built

Production Readiness Audit

$4,900

10 business days

App or AI prototype built fast or with AI tools? A senior review of the code, infrastructure and model usage for security, stability and cost, with a priced plan.

See the audit →

How we build

From first call to production

From first call to production

From first call to production

01

Discovery & audit

Goals, data and constraints, plus a review of any existing code, infrastructure and model usage before we commit to a plan.

02

Architecture

Framework, data model, async and job strategy, hosting and observability, decided up front and written down.

03

Build

Small pull requests, preview environments and a working demo every week.

04

Test & release

pytest, type checks and LLM evals in CI, then staged deploys with a rollback ready.

05

Support & scale

Monitoring, dependency and Python version upgrades and new features after launch, with the same engineers who built it.

Our Python stack

Language & tooling

Python 3.12+, uv, Ruff, mypy

Web frameworks

Django, FastAPI, Django REST Framework, Flask

AI & LLM

OpenAI, Anthropic, Gemini, LangGraph, LlamaIndex

Data & storage

PostgreSQL, pgvector, Redis, BigQuery, Snowflake

Pipelines

Airflow, Dagster, dbt, Pandas, Polars

Jobs & async

Celery, RQ, asyncio

Cloud & deploy

AWS, GCP, Docker, Kubernetes, GitHub Actions

Testing & observability

pytest, Hypothesis, Sentry, OpenTelemetry

Success stories

Products we have built and supported

Products we have built and supported

Products we have built and supported

View all case studies

Minimal Audio case study

eCommerce

Platform build

Minimal Audio

An eCommerce platform for next-generation audio plugins and sample libraries for musicians and producers.

MUD\WTR

MUD\WTR

eCommerce

Staff augmentation

MUD\WTR

A wellness brand offering coffee alternatives. Our engineers joined their team through staff augmentation.

Genoa telepsychiatry

Healthtech

HIPAA

Genoa

Customer-facing and backend platforms, integrations and legacy apps for a telepsychiatry provider.

Rivur construction finance platform

Fintech

Platform build

Rivur

Budgeting, contracts, invoicing and forecasting tools for large construction project management.

From the engineers and leads we work with

Trust us as they have

Trust us as they have

Trust us as they have

“MagmaLabs highly skilled engineers was able to understand our unique requirements and deliver a high-quality solution that meet our expectations.”

Portrait of Jabir Shaik, Engineering Lead at Genoa / Optum

Jabir Shaik

Engineering Lead · Genoa / Optum

“MagmaLabs’ team is very communicative, and the developer was extremely detail-oriented as he worked through the tasks.”

Portrait of Niva Singer, Director of Digital Product at MUD\WTR

Niva Singer

Director of Digital Product · MUD\WTR

“Having working more than 3 years with MagmaLabs I can say that they have outstanding engineers, they are smart, proficient, and reliable team members. I would hire them again without hesitation.”

Portrait of Perla Ruiz, Staff Software Engineer at Spin

Perla Ruiz

Staff Software Engineer · Spin

FAQ

Python development questions

Python development questions

Python development questions

Something else? Email hello@magmalabs.io.

Django or FastAPI: which should we use?

Django when you want batteries included: admin, auth, ORM and a mature ecosystem for product backends. FastAPI when you need a lean, async, typed API or a service around a model. Many teams run both, and we help you pick based on the product, not preference.

Can you build AI features into our existing product?

Yes. We add LLM features to existing Python, Rails or Node apps with retrieval over your data, evaluation suites, guardrails and cost monitoring, so the feature is measurable before and after it ships.

Can you upgrade an old Python or Django codebase?

Yes. We start with an audit of versions, dependencies and test coverage, add tests around the riskiest paths, then upgrade in steps while your team keeps shipping.

Do you work on data engineering and pipelines?

Yes. Ingestion, ETL, scheduled jobs and warehouse loads with Airflow, Dagster or dbt, built with retries, alerts and data checks so failures are visible instead of silent.

Can your Python developers join our team?

Yes. Through Team Embed, senior Python engineers join your Slack, standups and repo, work U.S. hours and follow your process. Monthly, with 30 days notice, starting in 1 to 3 weeks.

Who builds the frontend?

We do, if you need it. The same team builds React and Next.js frontends and React Native apps on top of your Python API, so nothing waits on another vendor.

How much does Python development cost?

Python engineers through Team Embed start at $8,500 per engineer per month. Scoped projects such as a new API, an AI feature or a data pipeline are quoted as a fixed price after scoping. If your app or AI prototype was built fast or with AI tools, the Production Readiness Audit is a fixed $4,900.

Trusted partners

Platforms we build on as an official partner.

Shopify Partners
Gorgias Partner
Solidus

Recognized by

Independent directories where clients review our work.

Clutch
GoodFirms
TopDevelopers
Sortlist
Flow, the MagmaLabs rocket mascot

Ready to build with Python?

Ready to build with Python?

Ready to build with Python?

Tell us what you are building, upgrading or adding AI to. In 30 minutes you get an honest read on scope, timeline and cost from a senior engineer.

Nearshore, your timezone

/

You own the code

/

NDA on request