Hiring a Python developer means matching the person to the kind of Python work you have, because web backends, data pipelines and AI features call for different strengths. Write down the work first, test candidates on real code, and choose a hiring route that fits your timeline. A good process takes days, not months.
What kind of Python developer do you need
Python covers several jobs that share a language and little else. A backend engineer builds APIs and services with a framework such as Django or FastAPI. A data engineer moves and transforms data with tools such as pandas, Airflow or dbt. An AI engineer builds features on top of language models, retrieval and evaluation.
Pick the one that matches your next six months of work. A developer who is excellent at Django can still be slow on a data pipeline, and the reverse is also true.
Which skills should you check
Look for fluent, idiomatic Python before anything else: clear functions, sensible use of the standard library, type hints and tests. Then check the layer around it.
- Web work: a framework (Django, FastAPI or Flask), relational databases, background jobs and API design.
- Data work: SQL, a workflow tool, and care about data quality.
- AI work: calling model APIs, retrieval, evaluation and cost control.
- All of it: version control, code review habits, and the ability to read someone else's code.
How do you test a Python developer
A take-home puzzle tells you little about how someone works. Give candidates a small, real codebase and a task such as fixing a bug and adding a feature, then watch how they read, plan and verify. Ask them to explain their trade-offs out loud.
Today the test should include AI tools, since most strong developers work with coding agents every day. You want to see whether they review what the agent writes. Our article on assessing an engineer's AI ability describes what to score.
Which hiring route fits
| Route | Typical start | Fits | Watch out for |
|---|---|---|---|
| Local employee | Months | Long-term core team | Recruitment time and cost |
| Freelancer | Days to weeks | Short, well-defined tasks | Availability and continuity |
| Agency project | Weeks | Whole project handed over | Less control, knowledge leaves with the agency |
| Embedded engineer | Days | Extra senior capacity in your team | Needs your own engineering lead |
The embedded route is what staff augmentation describes. If your team has a lead who can direct the work, it is usually the fastest way to add capacity without a long recruitment process.
What should you agree before the start
Settle the scope of the first month, the working hours you need to overlap, who reviews the code and how the engineer gets access to repositories and tools. Put code ownership and IP transfer in writing. Agree how long the engagement runs and what happens if the fit is wrong.
Time zones deserve a direct look. Engineers in Vietnam overlap with Europe in the CET afternoon, which suits daily standups and pairing in the second half of your day. See how long it takes to hire an offshore engineer for a realistic timeline.
What this means when you hire through Miyagami
You describe the work and we send a shortlist within 3 working days, with a hire possible within 5 working days of the brief. Every engineer is tested by an AI-native tech lead who works with AI every day. Our vetting page explains what is tested. Senior Python engineers work full-time in your team from €5,600 a month, with no recruitment fee and a three-month minimum. If the fit is wrong, we replace the engineer at our cost. We don't do part-time.
Short answers
How long does it take to hire a Python developer?
A local hire often takes months. An embedded engineer through a specialist partner can start within days of the brief.
Should a Python developer know Django or FastAPI?
Only if your product uses it. Strong Python fundamentals transfer between frameworks within weeks.
Is a freelancer or a full-time engineer better?
Freelancers suit short, well-defined tasks. A full-time engineer suits ongoing product work where context builds up.
Do Python developers need to know AI tools?
For most teams yes. Using coding agents well, and reviewing their output, is now part of the job.
