Hire Python Developers
- 6+ years Python, async + types fluent
- Fixed price per project · no hourly billing
- Engineer assigned within 7 business days
Senior Python engineers across web APIs, async pipelines, data engineering, and ML. We've shipped Python in regulated fintech, large-scale data ETL, and production AI — engineers who think about types, observability, and the operational bill of materials.
Built for teams that need senior engineering — fast.
- Companies whose backend is Python and needs senior capacity fast
- AI / data startups building inference pipelines or training infra
- Operations teams replacing brittle scripts with proper services
- Teams modernising a Django monolith without rewriting it
Concrete deliverables. No bench-warming.
Production FastAPI services
Type-safe APIs with Pydantic, dependency injection, async I/O, OpenAPI generation, structured logging, the lot.
Django that scales
Modernising legacy Django, splitting monoliths into bounded services, async views, Celery → Temporal migrations.
Data engineering + ETL
dbt, Airflow / Prefect / Dagster, async ingestion, ClickHouse / Snowflake / DuckDB warehousing, idempotent pipelines.
ML pipelines + inference
PyTorch / scikit-learn training, model registry, eval suites, real-time inference behind FastAPI, batch scoring.
Observability + reliability
OpenTelemetry, structured logs, Datadog / Sentry / Honeycomb, SLO-driven engineering — not just 'tests pass'.
Type discipline
Strict mypy / pyright, Pydantic v2, type-driven refactors. Refactor-safe Python is a thing; we ship it.
Pick the shape that fits.
Project-based
Fixed scope build of a service, pipeline, or platform.
Staff augmentation
Senior Python engineer embedded in your team.
Retainer
Ongoing Python engineering — features, ops, refactors.
Audit + rescue
Codebase audit and remediation plan.
Tools our Python engineers reach for.
SaaS Product Development
Zero to revenue. Multi-tenant architecture, billing, auth, dashboards, analytics — done properly.
AI Solutions
LLM agents, retrieval pipelines, and ML integrations that unlock real business leverage — not demos.
Automation Tools
Internal tools and workflow automation that save teams hundreds of hours every month.
Common questions about hiring Python engineers.
Can you take over an unmaintained Django codebase?+
Yes. We audit it, give you a written report (technical debt, security, perf, dependency rot), and either hand back the plan or execute it.
Do you do FastAPI + async or only Django?+
Both. We pick based on the project — FastAPI for greenfield API services or where async I/O matters, Django when you need the batteries-included admin and an ORM-heavy domain.
Can your Python engineers do AI/ML work?+
Yes — about a third of our Python engineers are dual-skill backend + ML. We can also pair a backend Python engineer with a dedicated ML engineer for projects that need both.
Do you handle Python upgrades (2.7 → 3.x or 3.x → 3.12+)?+
Yes. We've done multiple legacy Python upgrades including dependency hell, performance regressions, and deprecation chains. We test against your actual production workload, not just unit tests.
Ready to hire Python engineers?
Send us a brief, we send 1–2 candidate engineers to interview within 7 business days. No long sales cycles.