Hire Python developers

Hire Python developers for backends, data and AI

Python runs web backends, data pipelines and nearly every AI stack. We put forward Python developers matched to which of those you actually need, because a great Django developer and a great data engineer are different people.

Quick answer: what does a Python developer do?

A Python developer writes software in Python. Depending on specialism, that means web backends and APIs with Django or FastAPI, data pipelines and analytics with Pandas and SQL, automation and scripting, or AI and machine learning integration.

TechNimbus supplies Python developers from India for all three areas, on contract and dedicated terms.

Three specialisms

Which kind of Python developer do you need?

Web backend

  • Django and Django REST Framework
  • FastAPI with Pydantic
  • PostgreSQL, Celery and Redis
  • Authentication, admin and APIs

Data and automation

  • Pandas, SQL and data pipelines
  • Scheduled jobs and ETL
  • Scraping and integrations
  • Reporting and dashboards

AI integration

  • LLM APIs from OpenAI and Anthropic
  • RAG pipelines and embeddings
  • LangChain and similar frameworks
  • Evaluation and monitoring

How we vet

What we test Python developers on

Python is forgiving, which makes poor habits easy to hide. We look for:

  • Idiomatic Python: comprehensions, generators, context managers and the standard library used well.
  • Typing: type hints and Pydantic models that catch errors before runtime.
  • Framework depth: Django ORM query efficiency, migrations and signals, or FastAPI dependency injection and async handlers.
  • Async: when asyncio helps, when it does not, and how to avoid blocking calls inside async code.
  • Testing: pytest fixtures, mocking external services and testing database code properly.
  • Packaging and deployment: virtual environments, dependency pinning, Docker and environment configuration.

Every developer passes a technical interview with a senior engineer on our side before you see their profile. You then interview them yourself.

Market rates

Python developer rates in India, 2026

USD market ranges. Backend includes Python. Source: Jellyfish Technologies 2026 India benchmarks.
Role / stackJunior (0–2 yrs)Mid (2–5 yrs)Senior (5–8 yrs)Lead (8+ yrs)Dedicated senior, monthly
Backend (Node.js, Python, Java, .NET)$16–28$28–48$45–70$65–90$7,200–11,200
Data engineering (Snowflake, Spark, dbt)$20–32$34–56$50–80$70–100$8,000–12,800
AI / ML engineer (PyTorch, LLMs, RAG)$22–35$40–65$60–95$85–120+$9,600–15,200

Rates rise sharply for Python developers with AI and data specialisms. Third-party estimates, not TechNimbus prices. Source: Jellyfish Technologies.

FAQ

Common questions

Django or FastAPI?

Django suits products that benefit from its built-in admin, ORM, authentication and conventions, such as content-heavy apps and internal tools. FastAPI suits API-first services, async workloads and AI backends where speed and typed request models matter. Many teams use both.

Can your Python developers work on AI features?

Yes, if that is the specialism you ask for. Developers with AI experience are screened on LLM APIs, retrieval pipelines, embeddings and evaluation. For deeper machine learning work, see our page on AI and ML engineers.

Do your Python developers handle data engineering?

Some do. Data engineering is a distinct skill set covering pipelines, warehouses and orchestration, so tell us if that is the need and we will match accordingly.

Can a Python developer join a team that uses Node.js?

Yes. Many products run Python services next to a Node.js or PHP application, often for data or AI work. Our developers are used to working across service boundaries.

What does a senior Python developer in India cost?

Jellyfish Technologies' 2026 benchmarks put senior backend developers, including Python, at $45 to $70 an hour, with AI and data specialists higher. TechNimbus quotes each role individually after a call.

Start a conversation

Tell us what you need to build

Send a short brief. We reply within 48 hours with a clear plan, a realistic timeline and an honest view on whether we are the right team for it.