Hire Python developers

• Web back ends

  Django, FastAPI and Flask services with typed schemas and clear API documentation.

• Data pipelines

  ETL jobs, scheduled workflows and reporting tables with pandas, SQL and Airflow.

• AI features

  LLM integrations, retrieval over your own documents and evaluation of outputs before release.

• Automation

  Scrapers, document processing and internal tools that replace manual spreadsheet work.

• Databases and queues

  PostgreSQL, Redis and Celery for background work that must not lose jobs.

• Testing and deployment

  pytest suites, Docker images and CI pipelines with linting and type checks.

1. DAY 1

   01

   Brief

   Tell us what the Python work is: web back end, data pipeline or AI features, plus your versions and hours.

2. DAYS 1-3

   02

   Shortlist

   We share Python engineer profiles matched to the kind of work, noting framework and data tooling experience.

3. DAYS 3-5

   03

   Interview

   You interview the engineers about your data and architecture and review an example of their code. No fee for interviews.

4. DAY 5+

   04

   Onboard

   The engineer sets up the environment, joins your tools and completes a small first task with tests.

Python rates vary with seniority, with overlap hours and with whether the role leans toward back end, data or machine learning work. Every engagement is quoted in writing first.