Technology · Python
Python engineering
From production APIs to the data pipelines and AI systems on top of them, Python is the backbone of how we ship data- and ML-heavy products. Senior engineers, typed and tested code, built to scale.
What we build with Python
Services that scale
Production APIs and backends with Django, FastAPI, and Flask, typed, tested, and observable. Auth, payments, third-party integrations, and async workloads built to hold up under real traffic.
From pipeline to model
ETL and streaming pipelines (pandas, Airflow, PySpark) and the ML and LLM systems on top of them: training, evaluation, and serving with PyTorch, scikit-learn, and LangChain.
Leverage, not toil
Internal tools, data processing, and automation that remove manual work, scripted, scheduled, and wired into the systems your team already runs on.
The Python stack
Tools we know deeply
A working set we reach for across most engagements, chosen for what ships and holds up, not novelty.
- Django
- FastAPI
- Flask
- Pydantic
- SQLAlchemy
- Celery
- pandas
- NumPy
- Apache Airflow
- PySpark
- PyTorch
- scikit-learn
- LangChain
- pytest
- Poetry
Build it with a senior team.
Tell us what you're building, and we'll scope it in an AI Discovery Sprint and bring structure before scale.