Python development services

Python development services

Outsource Python to a senior nearshore team, APIs, data pipelines, and AI features, built in your time zone.

Applebees
KPMG
Mastercard
Microsoft
NetJets
Toyota
  • 15+
    years delivering software
  • 100+
    senior engineers across LATAM
  • 6-8h
    daily overlap with US teams
  • 6+
    Fortune 500 & global brands trust us
WHO WE ARE

A senior Python team you can outsource to

FusionHit is where US teams outsource Python without the cost and lead time of hiring in-house. Senior nearshore engineers, fluent in Django, FastAPI, and production data and ML delivery, work in your time zone as an extension of your team.

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WHAT WE DO

Python services we provide

One senior team across the full Python lifecycle, from a new API to a data platform.

Django and FastAPI development

Backends and APIs built to be maintained by your team, not just delivered to it.

Data engineering and ETL pipelines

Orchestrated pipelines with data-quality checks and alerting, instead of cron jobs that fail quietly.

AI, ML, and LLM applications

RAG systems and model services with evaluation, cost controls, and versioning built in.

APIs and system integrations

Python services that connect your product to the systems it has to live with.

Django and Python modernization

Moves off end-of-life Python and Django LTS releases, dependency by dependency.

Automation and internal tooling

The scripts and internal apps that quietly run the business, made reliable and observable.

Why FusionHit

Why US companies outsource Python to us

Senior Python engineers

Vetted seniors fluent in Django, FastAPI, and production data work, and approved by you before they start.

Real-time collaboration

Nearshore engineers on US hours, working live in your repo, your tools, and your standups.

Flexible engagement

Scale your Python team up or down as your roadmap and priorities move.

Integrated partnership

We work as an extension of your engineering and product teams, not a hands-off vendor.

Have a Python service or data pipeline to build?

Talk to an expert. 30 minutes, no commitment.

Talk to an Expert
Engagement models

Engage a Python team the way that fits

Pick the model that fits how your team works today.

Staff Augmentation

Add senior Python engineers to your existing team, under your direction.

Dedicated Development Teams

A stable Python team that works only on your product, as an extension of yours.

Full Project Outsourcing

Hand us the Python build end to end, from architecture to launch and support.

Client Voices

What US teams say about working with us

Real clients, on camera, on what it's actually like to work with us.

FusionHit's culture really is to ingrain with your company and understand your business drivers. If you're looking for an extension to your team, FusionHit is an absolute must-talk-to company.

Glass House Guide and APG Emerging Tech

Justin Cullifer

Founder

The team has been able to stay as a team for two years now. A single team, with nobody leaving. I've had a really stable team that I've seen grow in strength.

CSE Insurance Group

Mark Chequer

CIO

FAQ

FAQs about our Python development services

01

Why outsource Python development instead of hiring in-house?

Senior Python and ML engineers are among the slowest and most expensive US hires right now. Outsourcing gets you the same seniority in days, at 30-50% below domestic rates, with the option to scale down later. If you would rather bring talent onto your own payroll, see hire Python developers.
02

How much does Python development cost?

It depends on team size, seniority, and engagement model (staff augmentation, a dedicated team, or full project outsourcing). Senior LATAM rates run 30-50% under US equivalents, with a line-item estimate on the first call and no hidden overhead.
03

Django or FastAPI for our system?

Django when you want batteries included, an admin, and a mature ORM around a real domain. FastAPI when the service is API-first and async matters. We justify the choice against your workload rather than defaulting to what the team likes.
04

Can you productionize what our data scientists built?

Yes, and it is one of the most common reasons teams come to us. Notebooks and one-off scripts become tested, containerized services with reproducible dependencies, without sidelining the people who wrote them.
05

Do you have engineers who have shipped LLM features to production?

Yes, with evaluation harnesses, token cost controls, and prompt and model versioning, not just an API call from a notebook. We will show you what the guardrails look like before you commit.
06

We are on Django 3.2 and Python 3.9. What does getting current involve?

Both are past end of life. The blocker is usually two or three abandoned packages rather than Django itself, so we replace those first, then move LTS to LTS in staged jumps that each deploy on their own.
07

How do you handle PII in data and ML pipelines?

We agree where your data physically lives before any work starts, keep production data out of development environments by default, and sign the DPA or BAA your compliance team requires.
08

How fast can a Python team start?

We present matched profiles within days, you approve them, and most engineers onboard in under 2 weeks, compared to the 3-6 months a typical US hiring cycle takes.

Ready to build with Python?

Tell us what you're building, and we'll show you the Python team that can build it.

Trusted by leading teams

  • Mastercard
  • NetJets
  • KPMG
  • Applebees

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