Where most teams are
Python is where most AI and data work happens: LLM pipelines, data processing, integrations and the APIs behind them. Our engineers built the AI and data layer of an analytics app as it grew to 1.5M+ users.
What our Python developers do
LLM pipelines that hold up
Prompts, retrieval, validation and fallbacks around the model, tested on your real data, so the feature still gives the right answer on the thousandth odd request.
Agents that write and run Python
Agents on LangChain or LangGraph that plan, write and run Python in a sandbox, behind a FastAPI backend that streams results to your users as the work happens.
Signals from messy data
Data from your tools, databases and third-party APIs pulled into one clean stream, scheduled, monitored and retried, so the reports and models built on it can be trusted.
APIs other teams build on
FastAPI or Django services that are documented, versioned and safe to depend on, so your frontend, partners and other products can build on them without things breaking.
How it works
- 01
Pick a tier
Part-time, dedicated or embedded, from $4,000 a month. Tiers differ in hours and in how closely we work with your team.
- 02
Onboard fast
No hiring cycle and no months-long ramp: a senior engineer gets into your codebase, data and tools, and joins your standups.
- 03
Ship every week
Features, pipelines and fixes. The engineer doing the work is the one on your calls. Change tier or stop any month.
Starting at $4,000/mo
Part-time from $4,000/month, month to month. Not sure which AI ideas are worth building? Start with an AI audit (from $1,000).
Talk to a Python developer 
and 
have been with FormulaBot for 3+ years. We started as a simple English-to-SQL formula generator. It's now a 'chat with your data' product serving 1.5M+ users. They built it like it was theirs.
Work we've shipped
AI · Analytics
Better Analyst (formerly FormulaBot)
An analytics app used by 1.5M+ people. We built its English-to-SQL pipeline and the Python analysis agents.
AI · MVP → Retainer
Performalise
Signals from project tools, Git and CI/CD normalised into one event stream, with AI models that flag delivery risk.
AI · EdTech
QuizBot
Quizzes generated from any text, with an API other products could embed. 2,500+ users, then acquired.
How we can help
Four ways to work with us - pick what fits, switch when it doesn’t.
Audits
Find what's broken - or whether AI is worth it - before you build.
Learn moreMVP Sprint
Zero to production in 5-6 weeks. A real product, not a prototype.
Learn moreRetainer
A senior engineer embedded on your team, month to month.
Learn moreCode Rescue
Vibe-coded app breaking under real users? We rebuild it to hold.
Learn moreFAQ
Frequently asked questions
How much does it cost to hire a Python developer?
Our retainers start at $4,000 a month for the part-time tier, month to month. Dedicated and embedded tiers add more hours. Prefer a fixed scope? We also do fixed-price projects, and audits from $1,000.
What kind of Python work do you do?
AI and data first: LLM pipelines, retrieval, data processing, integrations with third-party tools, and the APIs that serve them.
Can you add AI to our existing Python backend?
Yes. We add features such as natural-language search, summaries or agents to products that are already live, and test them on real data before launch.
How quickly can someone start?
Within a week of agreeing the tier. There is no hiring cycle and no months-long ramp.
Do we own everything you build?
Yes, 100%. You own the code, infrastructure, docs and credentials.
