Python development company in India
Python engineers in New Delhi organized around your roadmap, with backend, data and ML specialists matched to the work, a lead reviewing every pull request, fixed overlap hours and handover documentation written as the project runs.
- India-based senior engineers
- IST + US/UK overlap
- 24-hour reply
- Projects shipped
- 50+
- Code ownership
- 100%
- Client rating
- 4.8/5
- First reply
- 24h
How a Delhi-based Python team runs
Our New Delhi office makes Krapton a Python development company in India that shapes each team around the client’s codebase before any contract is signed. Python work splits into distinct skill sets, so a web product gets Django or FastAPI engineers who understand ORMs and async I/O, a data project gets engineers fluent in Airflow, Polars and SQL, and an LLM feature gets someone who writes evaluation harnesses as well as prompts. A technical lead reviews every pull request against your conventions, enforced through the same Ruff, mypy and pytest configuration your CI already runs. The IST day gives British and European clients a shared morning and Gulf clients most of their working hours; US teams pick a fixed early or late slot. Progress is shown, not reported: working features on a staging environment you control.
Python development services in India
Dedicated Django and FastAPI engineers
Backend developers who join your repository, follow your branching model and ship features, migrations and API endpoints in your sprint, reviewed internally before your team sees them.
Data engineering pods
Python data engineers who build and maintain Airflow or Dagster DAGs, dbt models and warehouse loads, with on-call coverage for failed runs during hours your team is offline.
LLM feature teams
Engineers who build retrieval, tool-calling and evaluation code in Python against your chosen model provider, with prompts and test sets versioned in Git alongside the application.
Test coverage backfill
An India-based team writes pytest suites, factories and contract tests around untested modules, giving your in-house developers a safety net before refactors or framework upgrades.
Version upgrade programs
Planned moves to current Python and Django releases run by an offshore squad during your quiet hours, with deprecation warnings cleared and dependency changes tracked in pull requests.
Long-term maintenance retainers
A stable India-based crew that handles bug fixes, security patches flagged by pip-audit or Dependabot, and small features, keeping context so you never re-explain the system.
Why an India-based Python team from Krapton
Senior engineers, fixed scope, and code you own — the things agencies promise and rarely deliver.
Skills matched to Python work
A Django developer, a data engineer and an ML engineer are different hires; the team is assembled from the right profiles instead of generic Python resumes.
Practical technical screening
Candidates refactor real code, write pytest tests, find an N+1 query and explain async pitfalls such as blocking calls in coroutines; you can run your own interview too.
Your tooling, your rules
Engineers work in your GitHub or GitLab, Jira or Linear, and Slack or Teams, following your linters and review rules rather than imposing a separate vendor process.
Clear IP and confidentiality
Contracts assign all code and models to you, NDAs cover datasets and prompts, and personal data used in development is masked or synthetic unless your policy says otherwise.
How we run Python projects from India
01
Codebase walkthrough
Your engineers walk us through architecture and conventions; we review the repository, CI and open issues and propose a team shape for the work.
02
Onboarding sprint
The first sprint pairs our engineers with yours on small tickets, confirming overlap hours, review turnaround and local environment setup before larger work begins.
03
Steady delivery
Each sprint ends with a demo on your staging environment, a written summary of merged pull requests and any risks the team has spotted.
04
Handover and exit
Krapton prepares architecture notes, ADRs and runbooks, then holds recorded sessions so your team can own deployments, pipelines and on-call without us.
Python tools our India team works with
Python development in India: questions answered
How is a Python development company in India usually structured for a project?
Around a technical lead plus engineers matched to the type of Python work. A web product typically gets Django or FastAPI developers and part-time QA, a data platform gets data engineers comfortable with orchestration and SQL, and an AI feature adds an engineer focused on evaluation. The lead owns code review and architecture decisions, and your product owner sets priorities in the same backlog your in-house team uses.
What should I check before I hire Python developers in India?
Check how they write and test real code, not how many libraries they list. Ask for a short paired session in which the candidate adds a feature with type hints and pytest tests, explains a slow ORM query, and describes how they would keep a blocking call from stalling an async endpoint. Also confirm English communication in written pull request descriptions, since most review happens asynchronously across time zones.
How do overlap hours work with Python developers in India?
You agree a fixed daily window, and the team protects it. For UK and EU clients the overlap is usually the morning, for UAE clients most of the day, and for US clients the start of their morning, which lands in the India evening, adjusted when daylight saving changes. Outside the window engineers work from well-written tickets, and blockers are flagged in writing before your day starts.
How is code quality controlled with an offshore Python team?
Through automated gates first and human review second. Your CI runs Ruff, mypy or Pyright, pytest with coverage thresholds and pip-audit on every pull request, so style and type errors never reach a reviewer. The India-based lead then reviews design and edge cases, and your engineer gives final approval. Recurring review comments become lint rules or documented conventions, which keeps the same mistakes from returning.
What happens at handover when the Python engagement ends?
Your team receives a codebase it can run without us, plus the knowledge to change it. That means a README that sets up the project with one command, architecture decision records, deployment and rollback runbooks, and a list of known risks and pending upgrades. Final sprints are spent pairing, with your engineers leading releases while the India team observes and answers questions.
Ready to build? Tell us what you have in mind.
Send a short brief and a senior engineer will reply within one business day with next steps — no sales fluff.