Hire developers · Back-end
Back-end
Hire Python engineers
Two largely separate candidate pools — web and API engineers, and data or ML engineers. Which one you need changes the search entirely.
What they are hired to build
The work, before the CV.
A role written against the work gets a better shortlist than a role written against a stack. These are what Python engineers are usually brought in to do.
Roles we recruit: Python backend engineer · Django or FastAPI developer · Data engineer (Python) · ML engineer.
- Django and FastAPI services
- Data pipelines, ETL and automation
- Backends for AI and ML features
- Internal tooling and integration work
The technical screen
What the conversation actually covers.
Every candidate has a real technical conversation with an engineer who has done the job, and you get written evidence per competency. In Python, that conversation covers the following.
Usually assessed alongside: Django or FastAPI, PostgreSQL, Celery, pandas / SQL.
- Which of the two pools they are actually in — asked directly, early
- Async Python, and whether the role needs it at all
- ORM behaviour, query counts and migrations under Django
- Packaging, environments and dependency management on a real team
A job description that says only 'Python' will produce a shortlist split between two disciplines. We will ask you to pick one before we source.
Three ways to bring one on
The route changes; the screening does not.
The same three routes apply whichever stack you are hiring for. Which one fits depends on how long you need the person and whether the headcount is approved.
Permanent placement
Companies hiring engineering and data roles
One fee on joining, with a 90-day replacement guarantee.
- Typical timeline
- 3–8 weeks to offer
Contract staffing & staff augmentation
Companies with budget but no headcount
We employ them, you direct them. Monthly, for when the need is real but headcount is not approved.
- Typical timeline
- Monthly, 3-month minimum
Contract to hire
Companies hiring into a new or unclear role
Three to six months as a contractor, then convert. The honest option when neither side is sure.
- Typical timeline
- 3–6 months to conversion
Or have us build it instead
If the need is the work, not the headcount.
AI & Data
Data platform engineering
Warehouse, pipelines and data quality — the foundation most AI projects discover they are missing.
AI & Data
RAG & knowledge assistants
Retrieval over your own documents, built on your permissions model rather than around it.
Software Engineering
API & integration engineering
Making systems talk to each other, reliably and observably.