Hire Python developers matched to the kind of Python you actually write
Backend service work, data engineering, and AI systems are three different jobs that share a language. We screen for the one you need rather than for the keyword.
Screening
What we check that a keyword match does not
Every candidate sits a live assessment with an engineer who does this work. For this role, that conversation covers:
- Which Python they actually do — services, pipelines, or modelling — probed rather than assumed
- Type discipline and testing habits in a language that does not enforce either
- Data handling: memory behaviour, batching, and where a pipeline will fall over
- Dependency and environment management, which is where Python projects rot
What they do once they are in your team
FastAPI or Django services with typed, documented interfaces
Scheduled data pipelines with retries, lineage, and alerting
Retrieval, evaluation, and model-serving work for AI systems
Performance investigation where the interpreter genuinely is the constraint
Which level you actually need
Most briefs ask for senior by default. Sometimes that is right; often the work is better served by a mid-level engineer and a clearer specification.
Delivers within an existing service or pipeline, with review on data modelling and failure paths.
Designs pipeline or service architecture and owns its operational behaviour, including cost.
Sets standards across data or platform engineering and carries delivery accountability.
Questions about hiring Python developers
Not sure what you need? Describe the work and we’ll tell you which role fills it.