Python Engineering
Python development for APIs, automation, data, and AI
Python engineers working on current runtimes — FastAPI services, data pipelines, internal automation, and the application layer around AI models.
Python 3.13FastAPIDjangopandasasyncpytest
Technology Depth
Python stack coverage
Comprehensive ecosystem coverage backed by vetted senior principals and certified specialists.
Language & Runtime
Python 3.13Python 3.12Python 3.11Type Hints & mypyasyncioFree-threaded BuildsPydantic v2uv / PoetryRuffPackaging & Distribution
Web & API
FastAPIDjangoFlaskDjango REST FrameworkCelerySQLAlchemy 2.0AlembicUvicorn / GunicornWebSocketsOAuth & JWT
Data & Automation
pandasPolarsNumPyApache AirflowdbtPySparkRequests / httpxBeautifulSoupopenpyxlScripting & RPAETL Pipelines
AI & Machine Learning
LangChainLlamaIndexAnthropic & OpenAI SDKsscikit-learnPyTorchHugging FaceVector DatabasesRAG PipelinesMCP Servers
Enterprise Delivery
Typical Python engagements
- API development — FastAPI or Django services with typed contracts
- Automation — replacing manual spreadsheet and file-handling processes
- Data pipelines — scheduled extraction, transformation, and validation
- AI integration — LLM-backed features with retrieval and guardrails
- Internal tools — small applications that remove recurring manual work
- Test coverage — pytest suites with fixtures and realistic data
The scripts nobody owns
Most organizations run on a layer of Python scripts written by someone who has since left, with no tests, no logging, and no error handling. They work until they quietly do not.
- Inventory of what runs, when, and what depends on it
- Logging and alerting added before any refactor
- Tests written around current behaviour first
- Moved into version control and scheduled properly
Common Questions
Frequently Asked Questions
Transparent insights into our delivery, pricing models, security compliance, and onboarding timelines.
Which Python version do you build on?
New work targets 3.12 or 3.13 unless your platform constrains it. For existing systems we work on whatever version is deployed and can plan the upgrade path separately.