Python, Django & AI Integration
WeBuildStack is a remote-first software development company in Bengaluru, India, that builds web and mobile applications and the cloud behind them. For a Django or FastAPI backend, data pipelines, automation or LLM features with an evaluation set: a written quote within 48 hours and an MVP in six weeks with deployment included, with team hours set to your timezone. 15+ engineers, 100+ projects.
Python handles the data-heavy and model-heavy parts of the products we build. For a backend, week one gives you a Django or FastAPI project with auth, an admin, a seeded database and a staging deploy. For an AI feature, week one gives you a prototype over a sample of your real documents and a first evaluation set, so the decision to continue is made on numbers rather than a demo.
We build the whole stack. MVP in 6 weeks, deployment included.
What you get
- Django and Django REST Framework for products that live in an admin: permissions, audit logs, bulk actions
- FastAPI services with async I/O, Pydantic models and OpenAPI docs that the front-end team codes against
- Pipelines with pandas, Airflow and dbt, with data-quality checks that fail loudly instead of filling dashboards with wrong numbers
- LLM features with retrieval, structured extraction and an evaluation harness that runs on every prompt change
- Automation of reconciliation, scraping and reporting work that currently lives in someone's spreadsheet
How a typical Python project runs
- Week 1
01Scope and quote
A technical lead reads your brief, asks the awkward questions and sends a written Python quote within 48 hours.
- Weeks 2 to 5
02Build in weekly sprints
A demo every Friday. The tech lead reviews every pull request before it merges, and you can see the repo at any time.
- Week 6
03Launch, deployment included
We deploy to your cloud accounts, hand over the repos and a runbook. You own the code and the IP.
Where this service fits
- 01
Backends and admin
Django platforms with granular permissions, audit history, background jobs on Celery and an admin your operations team actually uses.
- 02
AI features
Document Q&A, support assistants, classification and summarisation, shipped with an eval set, per-request cost logging, guardrails and a fallback path.
- 03
Data and automation
Scheduled pipelines, reporting warehouses and integrations that replace a manual process, with the old process documented as the acceptance test.
Python, Django & AI Integration: common questions
Something not covered here? Ask a tech lead. We reply within one business day.
Yes, for a Django or FastAPI backend, data pipelines, automation or LLM features with an evaluation set. A written scope and fixed quote within 48 hours, an MVP in six weeks with deployment included, a tech lead reviewing every pull request, and code you own; the team works in your timezone from Bengaluru, India.
Anthropic Claude, OpenAI, Google Gemini and self-hosted open-weight models. We choose per feature on quality against your eval set, latency, where the data may legally live, and cost per thousand requests. The provider sits behind one interface so it can be swapped.
Yes, and that is most of the AI work we do. We start with a one-week discovery: pick one use case, assemble a sample of real data, build a prototype and measure it. You get the numbers and a scope before committing to the full build.
Repository with a Docker Compose for local setup, Alembic or Django migrations, the eval harness and its results, infrastructure as code, and a runbook for the jobs and models in production. Deployment to your cloud is included.
Tell us about your Python project
Two minutes to fill in. A technical lead replies within one business day with questions and suggested next steps; a written, fixed quote follows within 48 hours of a call.
- Reply within one business dayFrom a technical lead, not a sales inbox.
- Written quote in 48 hoursScope, timeline, entry price and what is included.
- Start when you are readyNo retainers or commitments before the quote.
Prefer to talk it through?
Send us a few lines. A technical lead replies with how we would approach it, within one business day.
- We speak in hours, not days
- Written quote within 48 hours
- Deployment included, you own the code