WeBuildStack is a remote-first software development company in Bengaluru, India, that builds web and mobile applications and the cloud behind them. For a dedicated Python engineer you interview first, with a 15-day risk-free trial and a tech lead reviewing every pull request: profiles within 48 hours, a start within one to two weeks, in your timezone. 15+ engineers, 100+ projects.
Python engineers for the data-heavy and model-heavy parts of your product: Django platforms, FastAPI services, Airflow pipelines and LLM features that ship with an evaluation set rather than a demo. They work in your repo and your stand-ups, with a tech lead reviewing every pull request.
Modelling a Django permission scheme with object-level access and an audit trail.
Writing async FastAPI endpoints that never block the event loop on database or HTTP calls.
Building an evaluation set for an LLM feature and explaining what a regression would look like.
Debugging a pandas or SQL pipeline that silently drops rows between stages.
The four ways to add a Python engineer, stated fairly. The figures in our row are the ones every page on this site commits to.
| Channel | Time to start | Who reviews the code | Continuity | Trial | Management load |
|---|---|---|---|---|---|
| Marketplace freelancers (Upwork, Fiverr) | Days | Nobody unless you arrange it | One person; no replacement | Per contract | You manage everything |
| Vetted-talent networks (Toptal, Lemon.io) | Days to a week | Your lead | Replacement by the network | Usually a trial period | You manage the work |
| Dedicated-team companies (WeBuildStack and others like us) | Profiles in 48 hours; start in one to two weeks | A tech lead reviews every pull request | Replacement guarantee; no minimum term | 15-day risk-free trial | Shared: you direct the backlog, the company handles HR, quality and replacement |
| In-house hire | Months | Your lead | Highest | Probation | Everything, including recruiting |
Need the whole thing built instead? See our Python, Django & AI Integration service.
Sets up the project with your dependency manager, runs the test suite and flags flaky or skipped tests.
Delivers a first ticket, such as an endpoint, admin view or pipeline task, with type hints and tests.
For AI work, assembles a small labelled test set from your real data before touching prompts or models.
Something not covered here? Ask a tech lead. We reply within one business day.
Yes, for a dedicated Python engineer you interview first, with a 15-day risk-free trial and a tech lead reviewing every pull request. Profiles within 48 hours, a written monthly rate with them, a replacement guarantee, no recruitment fees and no minimum term; the engineer works in your repositories, stand-ups and hours from Bengaluru, India.
Both, and the ones who do AI work treat it as engineering: an eval set from real data first, then retrieval, prompts and guardrails, with cost per request logged from the first deploy. They work with Claude, OpenAI, Gemini and self-hosted models behind one interface.
Django when the product lives in an admin and needs permissions, audit history and an ORM with mature migrations. FastAPI for services that are mostly API surface and need async I/O. Many of our clients run both; the engineer will put the reasoning in writing.
Usually within 3 to 7 working days. Profiles show whether each engineer leans towards Django platforms, data pipelines or LLM work, and you interview before anyone is assigned.
The first 15 days are risk-free. For AI work that is usually long enough to see the first evaluation results; if the fit is wrong you pay nothing for that period and we replace the engineer or part ways. No minimum term.
Your data stays in your accounts. We use provider endpoints with no-training terms or models hosted in your cloud, and the engineer documents which data leaves which boundary. We sign your NDA and DPA before access is granted.
What arrives within 48 hours: two or three matching profiles with code samples, each engineer's availability and earliest start date, and a written monthly rate. You interview before anyone starts.
Other roles: React, Angular, Node.js, Java, React Native, DevOps
Python 3.12DjangoFastAPICelerypandasSQLAlchemy
Cross-functional pods with a tech lead: frontend, backend, QA and DevOps.