Python Development Services
Square builds Python systems from Tirana where the work is data, automation or intelligence rather than UI. Python is our choice for backends that process and analyse data, ETL and scheduled pipelines, scripting that removes manual work, and integrating ML or LLM models into a product. We build APIs with FastAPI, pipelines with pandas and orchestrators, and wrap AI models behind clean, typed endpoints. When a job is genuinely compute- or data-heavy, this is the stack we recommend over Node. Full CET overlap, fluent English and Italian, EUR 35-55/hour.
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What we build
- REST APIs and backend services with FastAPI, including async endpoints, validation and OpenAPI docs
- ETL and data pipelines with pandas and orchestrators, batch or scheduled, feeding warehouses and dashboards
- Automation and scripting that replaces manual back-office work — scraping, file processing, report generation
- ML and LLM integration: serving models, RAG pipelines and AI features wrapped behind typed endpoints
- Data tooling and internal apps for analytics, with clean ingestion, transformation and export
Why this stack
- Choose Python when the core of the work is data, computation, automation or ML — not interactive UI
- Unmatched data and AI ecosystem: pandas, NumPy, scikit-learn and direct access to every major LLM and ML library
- FastAPI gives you modern async APIs with type hints and automatic docs, comparable in speed to Node for I/O work
- Readable, maintainable code makes Python ideal for pipelines and automation that other teams will inherit
- Full CET overlap and EUR 35-55/hour senior engineers, typically 30-60% below comparable Western-European rates
Frequently asked questions
FastAPI or Django for our backend?
FastAPI for API-first services, async workloads and ML model serving — it's lean and fast. Django when you want a batteries-included framework with an admin, ORM and auth out of the box for a content- or CRUD-heavy product. We choose based on whether you need a full web framework or a focused API.Can you integrate AI/LLM features?
Yes. We build RAG pipelines, model-serving endpoints and LLM-powered features in Python, wrapped behind typed APIs your front-end can consume. We're candid about what AI reliably does versus marketing hype, and we don't ship features we can't stand behind.Is Python fast enough for production APIs?
For I/O-bound APIs, FastAPI with async is competitive with Node. For genuinely CPU-heavy work, Python's strength is the C-backed numeric libraries (NumPy, pandas) and the option to offload to compiled code. We profile real workloads rather than argue benchmarks.Do you handle data pipelines and automation, not just web apps?
That's a core use case. We build ETL pipelines, scheduled jobs and scripts that automate manual back-office processes — file handling, scraping, reporting — with proper logging, retries and monitoring so they run unattended.