Backend
Hire Python engineers who ship across the stack.
Django, FastAPI, data pipelines, AI workloads — our nearshore Python squads cover the full surface area.
Why it matters
Why Python is the universal backend
Python is the only language that comfortably spans web APIs, data engineering, machine learning, and automation. FastAPI has become the modern API standard, Django still powers a huge fraction of mature SaaS, and the AI revolution has made Python the default for productionizing models. The hard part is finding engineers fluent across that range — not just one corner.
Where Python earns its keep
FastAPI/Django backends for SaaS and internal tools
Data pipelines, ETL, and analytics infrastructure
ML model serving, RAG systems, and agent frameworks
Automation, scraping, and integration glue across systems
Why outsource
How outsourcing accelerates your Python roadmap
The Python market is bifurcated: web Python, data Python, AI Python. Hiring engineers who cross those lines is slow. Nearshore squads give you that breadth on demand.
Range across web, data, and AI
One squad covers FastAPI, pandas, and LangChain — no handoffs between silos.
Async Python done right
asyncio, FastAPI, SQLAlchemy 2.0 — modern patterns, not legacy WSGI thinking.
Production-grade ML serving
Model versioning, batch inference, streaming pipelines that hold up at scale.
Cost flexibility
Spin up a data engineer for a quarter, drop them when the migration ships. No HR drag.
What we ship
What our Python squads deliver
Python is forgiving until production. Our engineers ship typed, tested, observable Python that holds up.
Modern API platforms
FastAPI, Pydantic v2, async DB access, OpenAPI by default.
Data and ML infrastructure
Airflow, dbt, MLflow, vector stores — the full pipeline.
Type-safe by default
mypy, ruff, pytest — the discipline that scales codebases.
Hire Python engineers in 48 hours.
Backend, data, ML — our Python squads cover the full stack of modern Python work.