Dedicated Python Engineers
Hire Python Developers
Python engineers for the work Python is genuinely best at.
Data pipelines, automation, and AI workloads. We staff Python where it wins rather than using it as a default for everything.
Quick Answer
Updated August 22, 2026
What does it cost to hire a Python developer?
A senior Python developer from India costs $32–$45 per hour, roughly ₹3.5–5 lakh per month full time; mid-level runs $22–$32 per hour. Python engineers working primarily on machine learning or LLM systems price higher, in the $42–$60 range, because that supply is genuinely scarce and the work is harder to evaluate from a CV.
Senior hourly rate
$32 – $45
ML-focused rate
$42 – $60
Time to start
7 – 12 working days
Best for
- Data pipelines, ETL, and scheduled processing
- AI and machine learning workloads
- Internal automation and integration tooling
Not best for
- High-concurrency real-time systems where Node.js or Go fits better
- Front-end work of any kind
- Teams with no Python anywhere else in the stack
Rate Card
What does it cost to hire python developers?
Standard Python application work prices in the web band. Machine learning and LLM system work prices in the AI band — see our AI/ML engineer page for that rate card.
| Level | Experience | Monthly (INR) | Hourly (USD) | Best for |
|---|---|---|---|---|
| Mid-level | 3–5 years | ₹2,20,000 – ₹3,20,000 | $22 – $32 | Feature delivery inside an existing codebase and review structure |
| Senior | 5–8 years | ₹3,50,000 – ₹5,00,000 | $32 – $45 | Owning a module end to end, setting patterns, reviewing others |
| Lead / architect | 8+ years | ₹5,00,000 – ₹6,50,000 | $45 – $60 | Architecture, delivery sequencing, and technical accountability |
Rates are for dedicated engagements with at least four hours of daily overlap with your working hours. Longer commitments reduce the rate; more overlap increases it.
Capability
What our python developers actually do
- API development in FastAPI and Django REST Framework
- Data pipelines and ETL with pandas, Polars, and scheduled orchestration
- Background and scheduled work with Celery, RQ, or a managed queue
- Type-annotated Python with mypy and real test coverage
- Integration work — third-party APIs, scraping, file processing, reporting
- Packaging and deployment with Docker and reproducible dependency management
Working stack
We staff for the stack you already run wherever we can. Where we think a different choice would serve you better, we will say so once — with the reasoning — and then work in yours.
Common Engagements
What teams usually hire Python engineers for
Data pipelines and reporting
Scheduled extraction, transformation, and delivery of data into a warehouse or a reporting surface, with failures that alert rather than silently skip.
AI and LLM backends
Retrieval pipelines, embedding stores, and model orchestration behind a typed API the product team can build against.
Business process automation
Replacing manual spreadsheet and email workflows with scheduled jobs, integrations, and an audit trail.
Django application work
Feature delivery and modernisation inside existing Django codebases, including migration and ORM performance work.
Vetting
How we decide who is good enough to place
Vetting is the entire value of hiring through an agency rather than a marketplace. If we are not rejecting most applicants, we are not doing the job you are paying for.
Step 1
Technical interview
A senior engineer from our team runs the interview. Not a recruiter with a checklist, and not an automated coding test.
Step 2
Practical exercise
A task close to the work you are actually hiring for, reviewed the way we would review a pull request.
Step 3
Reference and delivery check
We ask what they shipped recently, who reviewed it, and what went wrong on it. The last question is the useful one.
Step 4
Fit call with you
You speak to the engineer before committing. If the fit is wrong at that point, nothing has been signed.
Comparison
When Python is the right call, and when it is not
Python is excellent at a specific set of problems. Being honest about the boundary saves you a rewrite.
With SoftwareCrafting
- Python for data, automation, ML, and integration-heavy services
- Node.js or Go recommended when concurrency is the dominant constraint
- Typed, tested Python — not scripts promoted into production by accident
- A written recommendation on runtime choice before the build starts
Typical alternative
- One language for everything because that is what the team knows
- Untyped scripts that become load-bearing infrastructure
- Performance problems attributed to Python rather than the architecture
- No plan for who maintains the pipeline after handover
Engagement Models
Four ways to work with us, and when each one fits
Dedicated seat
One engineer working full time inside your team, your repo, and your process. Monthly rolling, two weeks notice.
Ongoing roadmap work with no defined end date
Part-time seat
From roughly 20 hours a week. Below that, context reloading eats most of the value, and we will say so.
Specialist input alongside an existing team
Fixed-scope project
A defined deliverable at an agreed price. Only where scope is genuinely clear enough to fix without a change-request cycle.
Migrations, audits, and well-specified builds
Delivery pod
Three to four people including QA and a named delivery owner accountable for the sprint outcome.
Whole product areas you want owned end to end
What you get either way
- You interview the engineer before anything is signed
- Replacement at our cost if the fit is wrong in the first two weeks
- IP assignment and NDA signed before technical access is granted
- Code committed to your repository, under your organisation, from day one
- Monthly rolling contract — two weeks notice, no annual lock-in
Quick Brief
Start the conversation here
Tell us the role, the stack, and when you need someone. We will come back with availability and a rate.
Your Name
Work Email
What do you need help with?
FAQ
Questions buyers ask before hiring Python engineers
How much does it cost to hire a Python developer in India?
Mid-level Python developers cost $22–$32 per hour and seniors $32–$45 per hour through an agency. Python engineers specialising in machine learning or LLM systems price higher, typically $42–$60 per hour.
Do you use Django or FastAPI?
FastAPI for new API-first services, because typing and generated documentation come free. Django where the batteries-included admin and ORM ecosystem genuinely save months, or where the existing codebase is already Django.
Can Python developers build the front end too?
We do not staff it that way. Server-rendered Django templates are fine for internal tools, but for a real product front end you want a React or Next.js engineer. We will pair them rather than stretch one person across both.
Can you build data pipelines and reporting?
Yes — extraction, transformation, scheduling, and delivery into a warehouse or dashboard. We build them with monitoring so a silent failure surfaces as an alert instead of a missing report someone notices a week later.
Do your Python developers work on AI projects?
Yes. Retrieval pipelines, embedding stores, evaluation harnesses, and LLM orchestration are a substantial part of our current Python work. That work prices at the AI band rather than the standard band.
Can you take over an existing Python codebase?
Yes. The first step is usually reproducible dependencies and a test that runs, because inherited Python projects frequently have neither, and nothing else can be assessed safely until they do.
Related services
The service pages behind this role
What this engineer works on day to day, and how we scope it commercially.