Python covers a wide range — web, data, and ML — so hiring well means matching the specialization to your product. This guide covers what to screen for, rates, and engagement models.
Specializations to match
- Web/API — Django, Django REST Framework, or FastAPI
- Data engineering — pipelines, Airflow/Prefect, warehousing
- ML/AI — model training, LLM/RAG, MLOps
- Full-stack — Python backend plus React/Flutter
What to screen for
- Clean, tested code (pytest) — not just working scripts
- Understanding of async, ORM query performance, and caching
- For ML: evaluation, monitoring, and honest model trade-offs
- Communication and timezone overlap for distributed teams
Rates and engagement models
Senior Python engineers through GreeLogix run $5,000–$15,000/month per FTE depending on ML depth, with US/UK/AU overlap. You can hire dedicated engineers for augmentation or engage us for full project delivery.
Red flags
No tests, ML 'experts' who've never shipped a monitored model, and one-language dogma (forcing Django or FastAPI for every workload) are all signals to keep looking.