Hire in days, not months

Hire Python Developers

Build powerful, AI-ready applications with senior Python engineers who master modern frameworks and data systems.

From FastAPI microservices to complex AI/ML integrations, our Python developers help you launch faster, optimize data processing, and keep your backend infrastructure scalable and secure.

Get Matched with Python Talent

Python delivery governance

Governance built for high-traffic and AI-driven systems

Our delivery model ensures code quality, security, and operational reliability for your Python projects.

Controls for backend delivery

Security, performance, and release discipline tailored for Python environments.

Shortlist turnaround

3.7 days median

Kickoff speed

9 days median

90-day continuity

96% engagement success

Secure Backend SDLC

Implementation of security best practices, including data encryption, secure authentication, and protection against common Python vulnerabilities.

Risk control

IP Protection and Compliance

Full IP ownership transfer and strict adherence to your company's security and data privacy policies.

Legal-ready

Performance & Uptime Monitoring

Continuous monitoring of API latency, server health, and system uptime to ensure reliable service delivery.

Quality-focused

Talent pool preview

Vetted Python Developer profiles ready to interview

Review a balanced shortlist with specialist, senior, and principal depth so you can hire for immediate delivery and long-term technical leadership.

View more profiles

Usman N.

Senior Python Developer

Vetted

8 years

Role-matched

PythonFastAPIPostgreSQLAWS

Architected a high-performance microservices backend for a SaaS platform using FastAPI, improving API response times by 45% and handling 5M+ daily requests.

Tariq C.

Python AI Engineer

Vetted

6 years

Role-matched

PythonOpenAILangChainPytest

Developed and deployed AI-powered features for a content platform, implementing RAG-style search and automated content summarization using LangChain.

Hussain R.

Principal Python Developer

VettedArchitect

12 years

Role-matched

DjangoSystem DesignDockerCI/CD

Led the backend transformation of a large enterprise application to a modern Django-based architecture, improving developer velocity by 40% and reducing technical debt.

Need a wider shortlist?

We can share additional python developer profiles by seniority, timezone, and domain fit.

Python engagement options

Flexible models for every stage of your backend

From part-time maintenance to full backend pods, we have a model that fits your budget and timeline.

Model selection support

We help you choose the right level of support based on your backend roadmap.

Part-time Python support

Ideal for maintenance, bug fixes, and performance tuning.

Starts from $2,000 / month ($25/hour equivalent)

Best for: Ongoing backend optimization

20 hrs/week
Maintenance & updates
Weekly planning

Get Started

Full-time Python engineer

Recommended

Dedicated expert for core backend development and architecture.

Starts from $4,000 / month ($25/hour equivalent)

Best for: Active backend roadmaps

40 hrs/week
Full sprint ownership
Daily updates

Get Started

Python Backend Pod (2 Devs + 1 QA + 1 PM)

Complete team to own and deliver entire backend workstreams.

Starts from $12,000 / month ($25/hour equivalent)

Best for: New product launches & AI infrastructure overhauls

Cross-functional team
End-to-end backend delivery
Rapid launch cycles

Get Started

Python hiring process

Hire senior Python talent in under two weeks

Our process validates technical depth across Python and backend architecture to ensure a perfect fit for your team.

Typical kickoff window

Start your first backend sprint with a Python expert in 7-14 days.

We test for architectural understanding, implementation skills, and problem-solving ability before you interview the candidate.

1
Backend Strategy Mapping
Step 1
We align on your specific stack needs, AI goals, and infrastructure requirements.
Day 1-2
2
Expert Shortlisting
Step 2
Review pre-vetted candidates with proven experience in Python and your chosen framework/cloud stack.
Day 2-5
3
Technical Deep Dive
Step 3
Interviews focused on Python architecture, API design, and real-world scaling challenges.
Day 5-10
4
Sprint Integration
Step 4
Smooth onboarding into your backend workflows and immediate development goals.
Day 7-14

Why teams choose us for Python

Python expertise with a focus on performance and AI-readiness

Get engineers who understand how to build Python backends that drive business growth and operational efficiency.

Built for backend-first delivery

Designed for teams that need high-performance, reliable, and cost-effective backend solutions.

Typical start

9 days to kickoff

API latency

25% median reduction

AI integration

30% faster delivery

Rapid Backend Integration

Engineers who hit the ground running with your existing Django, FastAPI, or Flask codebases.

Velocity

Production-Ready Reliability

Rigorous testing and architectural reviews to ensure your backend handles production loads with ease.

Reliability

AI-Accelerated Python Dev

We leverage AI tools to speed up API boilerplate and test generation, passing the efficiency to you.

Efficiency

Service scope

Python use cases mapped to business intelligence and application scale

Leverage the versatility of Python to build everything from high-performance web backends to advanced AI-driven features.

Web and API Development

Django and FastAPI SaaS Backends

Our Python developers build robust, secure backends for SaaS platforms using Django for comprehensive features or FastAPI for high-performance microservices.

Scalable REST and GraphQL APIs

Hire Python engineers to develop well-documented, type-safe APIs that integrate seamlessly with modern frontend frameworks and mobile apps.

Serverless and Edge Computing

Deploy cost-effective, event-driven backend logic using AWS Lambda or Google Cloud Functions for rapid scaling and low overhead.

AI, ML, and Data Engineering

AI and LLM Integration

Build AI-powered features using OpenAI, LangChain, and vector databases like Pinecone for RAG-style experiences and intelligent automation.

Data Processing and ETL Pipelines

Develop efficient Python-based data pipelines for ingestion, transformation, and analysis using Pandas, NumPy, and Celery workers.

Machine Learning Model Deployment

Hire experts to deploy and scale ML models in production, ensuring low latency and reliable inference for your users.

Automation and Operations

Backend Process Automation

Automate complex business workflows, report generation, and data synchronization with robust Python scripts and scheduled tasks.

Internal Tools and Admin Dashboards

Develop powerful internal tools and administrative interfaces using Django Admin or custom FastAPI-based solutions.

Cloud Infrastructure and DevOps

Manage and scale your Python applications on AWS, GCP, or Azure using Docker, Kubernetes, and automated CI/CD pipelines.

Engineering stack

Production-ready Python stack for speed, quality, and AI-readiness

Our Python stack choices are optimized for rapid feature delivery, data processing efficiency, and long-term maintainability.

Python 3.x

Django

FastAPI

Flask

Pandas

NumPy

Scikit-learn

OpenAI / LangChain

PostgreSQL

Redis

MongoDB

SQLAlchemy

Docker

AWS

Kubernetes

GitHub Actions

Pytest

Sentry

Datadog

Black / Flake8

Hiring readiness

Your Python developer hiring playbook

Everything you need to evaluate and onboard senior Python talent effectively.

Role scope Interview playbook Business impact

Responsibilities / Role Scope

Owns

Backend feature implementation with high-quality, maintainable Python code
API design, documentation, and integration strategy
Data processing logic and AI/ML model integration
Automated test coverage and CI/CD pipeline integration

Collaborates on

Frontend engineers to define and implement efficient API contracts
Data scientists to deploy and scale ML models in production
Product managers to refine technical requirements and roadmap
DevOps to ensure smooth deployment and infrastructure reliability

Interview Questions

Structured by level for consistent and faster interviewer calibration.

junior

Fundamentals and execution reliability

What are the main differences between a list and a tuple in Python?
How do you handle exceptions in Python using try/except blocks?
What is a virtual environment and why is it important in Python development?
How do you perform a basic API request using the `requests` library?

mid

Delivery ownership and decision quality

Explain the difference between Django's ORM and SQLAlchemy.
How do you implement asynchronous tasks in Python using Celery or asyncio?
What are Python decorators and provide a common use case.
How do you optimize database queries and indexing in a Django or FastAPI app?
How do you handle secure authentication and authorization in a Python API?

senior

Architecture, risk control, and leadership

How do you design a scalable microservices architecture using Python and FastAPI?
How do you implement and scale AI/ML models in a production environment?
What strategies do you use for monitoring and debugging Python applications at scale?
How do you handle complex data processing and ETL pipelines with Python?
How do you ensure security best practices and compliance in a Python-based backend?

Why Outsource This Role

Rapid Feature Delivery

Ship backend and AI features faster with Python's expressive syntax and vast library ecosystem.

Median kickoff: 9 days from role approval

Cost-Effective Scaling

Reduce server costs and development overhead with efficient Python execution and senior talent.

Starts from $25/hour

AI and Data Readiness

Future-proof your application with built-in support for advanced AI, ML, and data processing.

30% faster AI feature integration

Enterprise Reliability

Build stable, production-ready backends with senior Python engineering discipline.

99.9% uptime for backend services

Scalable Team Growth

Start with a single Python expert and expand to a full backend pod as your product grows.

Pod scale-up in 2-3 weeks

Benefit	Outcome	Metric
Rapid Feature Delivery	Ship backend and AI features faster with Python's expressive syntax and vast library ecosystem.	Median kickoff: 9 days from role approval
Cost-Effective Scaling	Reduce server costs and development overhead with efficient Python execution and senior talent.	Starts from $25/hour
AI and Data Readiness	Future-proof your application with built-in support for advanced AI, ML, and data processing.	30% faster AI feature integration
Enterprise Reliability	Build stable, production-ready backends with senior Python engineering discipline.	99.9% uptime for backend services
Scalable Team Growth	Start with a single Python expert and expand to a full backend pod as your product grows.	Pod scale-up in 2-3 weeks

Client stories

Trusted by teams that ship fast

Real feedback from partnerships where we embedded with product teams, accelerated delivery, and stayed accountable to outcomes.

“What stood out was how quickly they understood both our codebase and business constraints. Their developer contributed meaningful pull requests in week one, improved our testing discipline, and proactively flagged architecture risks before they became expensive problems. It felt less like hiring a contractor and more like adding a senior teammate.”

Elena M.

VP Engineering, Fintech Platform

“Before working with Codexty, feature delivery took us 10 to 12 weeks because we were bottlenecked on implementation. After onboarding their engineer, we cut that cycle nearly in half and launched our new customer workflow in 6 weeks. The quality bar stayed high, and post-release bug volume was lower than our previous two launches.”

Mark S.

Product Lead, E-commerce Brand

“Our biggest concern was scalability during a period of rapid growth, and their team handled it with confidence. They refactored key backend services, introduced safer deployment practices, and helped us scale traffic without downtime during peak usage windows. We saw immediate performance gains and far fewer late-night incidents.”

Sarah K.

Engineering Manager, Enterprise Platform

FAQ

Answers to practical decision questions before you hire.

Why should I use Python for my backend?

Python is ideal for building fast, scalable backends due to its expressive syntax, massive ecosystem of libraries, and industry-leading support for AI and data science.

Can your developers work with Django or FastAPI?

Yes, our engineers are experts in modern Python frameworks like Django for comprehensive applications and FastAPI for high-performance microservices.

How do you handle AI and LLM integration?

We use proven tools like OpenAI, LangChain, and vector databases to build AI-powered features that are both scalable and reliable.

What is the typical hourly rate for a Python developer?

Our senior Python developers start at $25/hour, offering high-quality delivery at a competitive rate.