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BigTree108

Hire Python developers in Ukraine

Python engineers for backends, data pipelines, AI agents and vector-database work, employed by BigTree108 on Ukrainian contracts and embedded full time in your team. You interview them, you direct their work, and you own everything they write.

The Python work our engineers do

  • Backend APIs

    Python services carrying the business rules of the product, deployed on Azure or AWS depending on where the rest of your system already lives.

  • Data pipelines

    Ingesting, transforming and reconciling data between systems, with the failure cases handled rather than logged and forgotten.

  • AI agents

    Agents that call real tools against real systems, which is a different engineering problem from a prompt in a notebook and is treated as one.

  • Retrieval and vector databases

    Retrieval-augmented generation over your own documents and data, including the unglamorous parts: chunking, evaluation and keeping the index current.

The Python development service page covers the same ground from the delivery side, for work you would hand over rather than staff.

What hiring a Python engineer here includes

  • Interviewed by people who write the code

    Nineteen people on the team are active technical interviewers, so a Python candidate is assessed by an engineer in the stack rather than a recruiter with a checklist.

  • An honest answer about availability

    Python is a staffed practice here but a smaller one than .NET. If the right person is not free, we say so and run a search instead of proposing whoever is.

  • The paperwork stays on our side

    Ukrainian contract, tax registration, payroll, invoicing, time tracking and leave run through our own portal. You sign one agreement with BIG TREE 108 LLC and receive one invoice a month.

  • IP assigned before access

    Every specialist has already assigned their work product to BigTree108, and our agreement assigns it onward to you, so the ownership chain is complete before any repository or data access is granted.

  • A team behind the person

    Architecture review, a second pair of eyes on pull requests and cover during leave come from BigTree108, not from your budget.

  • Hours you can see

    Time is logged in our portal throughout the month and the same figures produce the invoice, so there is one source for both sides.

Azure, AWS, and not asking you to move

Our own platform runs on Microsoft Azure with Terraform and GitHub Actions, which is where our deepest cloud experience is and what our cloud and DevOps practice works in every day. Python engagements also run on AWS where that is the environment a client already has. We do not ask a client to migrate a cloud to suit us, and we do not pretend a stack is familiar when it is not.

Python sits beside our largest practice rather than apart from it, so an engagement that starts as a data pipeline and grows a .NET or Angular surface does not need a second vendor. If the role you are filling is on the .NET side, the hire .NET developers page is the direct route; if you are still comparing countries and vendors, start with the software development company in Ukraine page.

How hiring runs

  1. You describe the role, the stack and the working hours you need.
  2. We propose one or two people with their profiles, or tell you plainly that we need to run a search first, which typically produces candidates within two to three weeks.
  3. You interview them the way you would interview your own hire.
  4. An NDA and IP assignment are signed, access is granted, the engineer starts.
  5. Hours are visible to you throughout the month; one invoice arrives at the end of it.

The dedicated team page explains the model in full, including the operations roles we staff the same way.

Our record on Upwork

Where our client history is public and verified by the platform rather than written by us.

Top Rated Plus
Upwork status of the agency
100%
job success score
50
jobs completed through the agency
11,121
hours worked for clients

Source: BigTree108 agency profile on Upwork, checked 4 September 2026

Questions about hiring Python developers from Ukraine

What kind of Python work do your engineers do?

Backend APIs, data pipelines, AI agents and vector-database work. It is the stack clients reach for when the product has to ingest, transform or reason over data rather than only serve pages, and it sits alongside our .NET and front-end practices rather than replacing them.

Do you build AI agents and retrieval-augmented generation in Python?

Yes. AI agents, retrieval-augmented generation and vector databases are published expertise for us rather than a line added to a proposal, and the engineers we hire for Python are interviewed for exactly that work by people who do it.

Do you work on AWS or on Azure?

Both. Our own platform runs on Microsoft Azure with Terraform and GitHub Actions, which is where our deepest cloud experience is, and Python engagements also run on AWS where that is the client’s environment. We do not ask a client to migrate a cloud to suit us.

How do you assess a Python engineer before proposing them?

The technical interview is done by someone who writes the same code: nineteen people on the team are active technical interviewers. Probation and onboarding are then tracked in our own portal, so the first weeks have a written plan and a review date rather than an assumption that it is going fine.

What if you do not have the right Python engineer available today?

We say so, and then run a search rather than proposing whoever is free. Python is a staffed practice here but a smaller one than .NET, so this happens; a search typically produces candidate profiles within two to three weeks, and you interview them the way you would interview your own hire.

Can a Python engineer join an existing team rather than a new project?

That is the usual shape. The engineer works in your repositories, your tracker and your meetings and reports to your lead, while the Ukrainian contract, payroll, invoicing, time tracking and leave stay with us. Architecture review and a second pair of eyes on pull requests come from BigTree108, not from your budget.

Who owns the code and the models?

You do. Every specialist has a signed contract with BigTree108 that assigns all work product to the company, and our agreement with you assigns it onward, so the ownership chain is complete before any repository or data access is granted.

Need a Python engineer?

Stack, seniority and working hours are enough to start. You get candidate profiles or a straight answer that we do not have the right person yet.