Hire Python Developers
Hire Python developers for APIs, data pipelines, automation and AI systems — clean, tested and production-ready.
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You interview
Every engineer
Vetting
Code review + practical
Overlap
With your working hours
IP & NDA
Assigned to you
What a Python developer does for you
Python is the language of data and AI, and also a solid choice for APIs and automation. Our Python developers build FastAPI and Django services, data pipelines and ML/LLM integrations, with type hints, tests and packaging that keep projects maintainable after the first release.
When to hire
- You are building AI, data or analytics features
- You need a FastAPI or Django backend
- You want to automate manual operations or reporting
- Your data pipelines are unreliable or hard to change
Responsibilities
What they will own
- Build APIs with FastAPI or Django
- Develop data pipelines and scheduled jobs
- Integrate ML models and LLM APIs
- Write tests, type checks and CI pipelines
- Optimise performance and cloud cost
Skills
Typical skill set
Technologies
Vetting
How we assess every Python developer
Profiles are shared only after these checks. You then run your own interviews.
- Review of production Python work
- Practical API or data exercise
- Testing and code-quality interview
- Data handling and privacy check
Hiring process
From requirement to first sprint
- 1Share your requirementRoles, seniority, stack, time-zone overlap and what the developers will own.
- 2Review profilesWe shortlist engineers whose experience matches, and share profiles for your review.
- 3InterviewYou interview every candidate. Nobody joins your project without your approval.
- 4Onboard & startAccess, rituals and first-sprint goals are agreed; the developer works in your tools.
- 5Review & scaleRegular check-ins on quality and velocity. Scale the team up or down as the roadmap changes.
Engagement models
Choose how the developers work with you
Individual Specialist
1 engineerA senior specialist embedded in your team to fill a specific skill gap.
Best for: Adding expertise such as smart contracts, AI or platform engineering to an existing team.
Dedicated Pod
2–4 peopleA small, self-organising unit focused on a feature area or workstream.
Best for: Owning a defined area of your product with minimal management overhead.
Dedicated Team
5–10 peopleA full cross-functional team working exclusively on your roadmap.
Best for: Building or evolving a product or platform over the long term.
Extended Team
FlexibleShivacha engineers integrated into your existing teams as additional capacity.
Best for: Accelerating an in-house roadmap without changing team structure.
Product Squad
4–8 peopleProduct, design and engineering together, accountable for product outcomes.
Best for: New products or product lines needing end-to-end ownership.
Managed Engineering
Scoped to outcomesShivacha owns delivery of defined outcomes with service levels and reporting.
Best for: Delegating a product, platform or operational workstream entirely.
Team composition
Teams are shaped to your roadmap, stack and domain, with profiles shared for your review before anyone starts.
Responsibilities
A written responsibilities matrix defines who owns what — priorities, architecture, delivery, quality and operations.
Communication
Teams work in your tools and rituals: stand-ups, planning, demos and retrospectives, with agreed time-zone overlap.
Delivery
Delivery managers track progress and risks, with regular demos and transparent reporting against agreed metrics.
Security
Least-privilege access, company-managed devices, secure credential handling and confidentiality agreements for every engineer.
Scaling
Teams scale up or down with notice periods agreed in the engagement, with knowledge transfer built into every change.
Engagement
Monthly engagements with clear terms, IP assigned to you and regular performance reviews with your leadership.
Need a whole squad instead? See the dedicated data engineering team.
Services
What these developers deliver
Backend Development
Scalable backend systems, services and data layers in Node.js, Python, Go, Java and .NET — reliable under real load.
Learn moreAI Development
End-to-end AI development: from use-case selection and data preparation to models, applications and production operations.
Learn moreAI Data Solutions
Data engineering for AI: pipelines, warehouses, feature stores, vector indexes and governance that make AI systems accurate.
Learn moreBusiness Process Automation
Automate repetitive business processes with workflows, integrations and AI — reducing manual effort and errors.
Learn moreFAQ
Frequently asked questions
Do your Python developers work on machine learning?
Yes, several specialise in ML and LLM systems. Tell us whether you need backend, data or ML focus and we will match profiles accordingly.
How quickly can developers start?
It depends on the role, seniority and number of people. We share profiles for your review first; initial engineers can often start within a few weeks of agreeing scope. We will not promise a start date before we have checked availability.
Do the developers work in our tools and time zone?
Yes. They work in your repositories, tracker and chat, and we agree a meaningful overlap with your working hours before the engagement starts. We have offices in India, the USA and the UK.
Who owns the code?
You do. All work product and IP are assigned to you under the engagement agreement, and NDAs are signed before any confidential material is shared.
Can we interview the developers?
Yes. You review profiles and can interview every engineer before they join your project.
Next step
Hire Python Developers.
Tell us about the roles, seniority and stack you need. We will reply with a proposed composition and profiles for review.
- Senior engineer reads every enquiry
- Reply within one business day
- NDA on request
Your details are used only to reply to this enquiry.