Hire the Best Python Developers

Clients rate our Python Developers
Rating is 4.8 out of 5.
4.8/5
Based on 46,841 client reviews

Philipp R.

Python Django Developer

Wolfsburg, Germany
$47 per hour
75 jobs
$90K+ total earnings

I help companies design, build, and evolve Django applicationsโ€”from architecture and interactive HTMX interfaces to CI/CD and production infrastructure. My focus is pragmatic engineering: clean code, reliable deployments, and systems that teams can confidently maintain. โ˜…โ˜…โ˜…โ˜…โ˜… "Philipp is our most experienced developer. He understands business requirements perfectly, takes ownership, and is a valuable mentor within our team." โ€” Julius, Privatize I'm the maintainer of Djxi, an open-source HTMX integration for Django, and bring 15 years of experience across FinTech, education, and enterprise web applications. With 15 years of experience in the Python and Linux ecosystem, I have worked on FinTech, education, and vehicle inspection platforms, focusing on backend architecture, deployment automation, authentication, performance optimization, and long-term maintainability. Core Technologies: - Python, Django 4/5, Django REST Framework, Wagtail, FastAPI - HTMX, Jinja2, Alpine.js, Vue.js - PostgreSQL, PostGIS, Redis, Celery - Docker, Docker Compose, GitHub Actions - Linux, AWS, GCP - pytest, unittest, Selenium Additional Experience: - Maintainer of "Djxi"โ€“ HTMX Integration for Django. - CI/CD design and deployment automation (github/gitlab/heroku/AWS) - Linux system administration - Other languages: C, Rust, Ruby - OpenAI API and PyTorch integration - Technical mentoring and developer training I work across the complete software lifecycleโ€”from architecture and implementation to testing, deployment, and production operations. Experienced collaborating with developers, technical leads, and business stakeholders in distributed teams. Fluent in English, German, and Spanish.

Farhan A.

Full Stack AI Developer | AI Platform, Automation, AI Agents | Python

Jhelum, Pakistan
$15 per hour
69 jobs
$200K+ total earnings

โญ Full Stack AI Developer | $๐Ÿ๐ŸŽ๐ŸŽ๐Š+ ๐„๐š๐ซ๐ง๐ž๐ | ๐Ÿ๐ŸŽ๐ŸŽ% ๐‰๐จ๐› ๐’๐ฎ๐œ๐œ๐ž๐ฌ๐ฌ | ๐Ÿ—,๐Ÿ—๐ŸŽ๐ŸŽ+ ๐‡๐จ๐ฎ๐ซ๐ฌ | ๐Ÿ“๐Ÿ“+ ๐๐ซ๐จ๐ฃ๐ž๐œ๐ญ๐ฌ ๐ƒ๐ž๐ฅ๐ข๐ฏ๐ž๐ซ๐ž๐ I help companies build production-ready AI Agents, Voice AI systems, RAG applications, and intelligent automations that eliminate manual work, reduce operational costs, and create new revenue opportunities. ๐๐ฎ๐ฌ๐ข๐ง๐ž๐ฌ๐ฌ๐ž๐ฌ ๐๐จ๐ง'๐ญ ๐ฌ๐ญ๐ซ๐ฎ๐ ๐ ๐ฅ๐ž ๐ญ๐จ ๐Ÿ๐ข๐ง๐ ๐€๐ˆ ๐ญ๐จ๐จ๐ฅ๐ฌ, ๐ญ๐ก๐ž๐ฒ ๐ฌ๐ญ๐ซ๐ฎ๐ ๐ ๐ฅ๐ž ๐ญ๐จ ๐ญ๐ฎ๐ซ๐ง ๐€๐ˆ ๐ข๐ง๐ญ๐จ ๐ฆ๐ž๐š๐ฌ๐ฎ๐ซ๐š๐›๐ฅ๐ž ๐›๐ฎ๐ฌ๐ข๐ง๐ž๐ฌ๐ฌ ๐ซ๐ž๐ฌ๐ฎ๐ฅ๐ญ๐ฌ. If you are looking for someone who can move beyond ChatGPT demos and build AI systems your business can actually rely on, you're in the right place. ๐—ช๐—ต๐—ฎ๐˜ ๐—œ ๐—•๐˜‚๐—ถ๐—น๐—ฑ - AI Agents I build autonomous AI agents that can reason, plan, use tools, collaborate with other agents, and automate complex business workflows, from research assistants to sales, operations, and customer support. - Voice AI Agents Production-ready AI voice assistants for inbound and outbound calling, appointment scheduling, lead qualification, customer support, and follow-ups using Vapi, ElevenLabs, Twilio, and Retell AI. - Workflow Automation I design intelligent automations using n8n, Make, Zapier, Python, and FastAPI that replace repetitive manual work with reliable AI-driven workflows. - RAG & Enterprise AI Hallucination-resistant RAG systems, internal AI assistants, document search, and knowledge bases built for businesses that need secure and accurate AI. - AI SaaS Development From MVP to production, I build scalable AI products with clean architecture, modern APIs, and cloud deployment. ๐Ÿ“Š ๐—” ๐—™๐—ฒ๐˜„ ๐—ฅ๐—ฒ๐˜€๐˜‚๐—น๐˜๐˜€ โœ” Reduced operational costs by 40% through AI-powered logistics automation. โœ” Increased lead conversion by 35% using an autonomous AI sales agent. โœ” Helped a FinTech startup launch its AI fraud detection platform 6 weeks faster. โœ” Saved an e-commerce business 300+ hours every month by automating operations with n8n. ๐—ง๐—ฒ๐—ฐ๐—ต๐—ป๐—ผ๐—น๐—ผ๐—ด๐—ถ๐—ฒ๐˜€ - AI & LLMs: OpenAI, GPT-4o, Claude, Gemini, LangGraph, LangChain, CrewAI, LlamaIndex - Automation: n8n, Make, Zapier, Python, FastAPI - Voice AI: Vapi, ElevenLabs, Twilio, Retell AI - Vector Databases: Pinecone, Weaviate, ChromaDB, FAISS - Frontend: React, Next.js - Infrastructure: Docker, AWS, GCP ๐Ÿญ๐—œ๐—ป๐—ฑ๐˜‚๐˜€๐˜๐—ฟ๐—ถ๐—ฒ๐˜€ FinTech โ€ข Healthcare โ€ข Real Estate โ€ข Logistics โ€ข E-commerce โ€ข Education ๐—ช๐—ต๐˜† ๐—–๐—น๐—ถ๐—ฒ๐—ป๐˜๐˜€ ๐—ช๐—ผ๐—ฟ๐—ธ ๐—ช๐—ถ๐˜๐—ต ๐— ๐—ฒ โœ” There are thousands of developers who can integrate an API. โœ” Fewer can design AI systems that are reliable, scalable, and built around business goals, not just technology. ๐—Ÿ๐—˜๐—ง'๐—ฆ ๐—ง๐—”๐—Ÿ๐—ž: Send me a message describing your project, I typically respond within a few minutes. Or book a 30-min consultation directly from my profile. I don't take every project. I take the right ones and deliver results that you will actually want to talk about.

Anshul S.

Python Backend Developer | FastAPI & Django | React & Next.js

Kangra, India
$12 per hour
70 jobs
$30K+ total earnings

I'm a Python backend developer who also works full-stack with React, Next.js and TypeScript โ€” so I can build the backend and take it through to a working frontend when a project needs both. My core is Python: FastAPI, Django, PostgreSQL, REST APIs, AWS and third-party integrations, including AI and LLM features using OpenAI, Claude, Gemini and LangChain. On top of that I build the frontend in React and Next.js (TypeScript) when a project calls for full-stack delivery, so you're not stitching together two separate developers for the backend and the UI. I can help with: - Python backend development with FastAPI, Django and Flask - REST APIs and third-party integrations - PostgreSQL and database-driven applications - AI and LLM integrations (OpenAI, Claude, Gemini, LangChain) - React.js and Next.js frontend development (TypeScript) - Full-stack builds โ€” backend plus a clean, working UI - Background jobs and asynchronous workflows - AWS deployment and backend infrastructure - Improving, integrating and maintaining existing applications I've completed 50+ Upwork projects and 2,500+ hours across backend development, full-stack builds, integrations and AI-enabled applications. I'm comfortable with both new products and existing codebases, with a focus on clean implementation, reliability, and getting systems production-ready. If you need someone to build, integrate or maintain an application โ€” backend or full-stack โ€” feel free to reach out.

Syed H.

Senior Python Developer | FastAPI, Django, AI/ML, APIs, AWS, React

Lahore, Pakistan
$25 per hour
105 jobs
$300K+ total earnings

Python Developer specializing in FastAPI, Django, Flask & AI/ML solutions โญ Top Rated Plus โ€“ Ranked in the Top 1% of Lead Python developers on Upwork โœ… 14+ Years of Senior Python Excellence | 13,000+ Hours Delivered I personally handle all development and client communication, ensuring high-quality, scalable, and secure applications without outsourcing. From MVPs to enterprise SaaS platforms, I transform complex requirements into production-ready systems. Iโ€™ve been working with Django (since v0.3), Python (v2.3+), FastAPI, Flask, and React. I specialize in building intelligent systems with AI/ML, NLP, and LLMs. Since 2019, Iโ€™ve been leading cross-functional teams globally, while also working individually with clients to deliver clean, scalable solutions. Most of my work has been on production systems already serving real users, where I acted as the technical owner, not just an implementer. ๐—”๐—ฐ๐—ต๐—ถ๐—ฒ๐˜ƒ๐—ฒ๐—บ๐—ฒ๐—ป๐˜๐˜€: Contributed to Open edx: Enhanced the global open-source learning platform with Python/Django. KredX Financial Platform: Built APIs & real-time analytics with FastAPI for high-volume transactions. The Entertainer (Python + React): Delivered large-scale consumer app supporting millions of users. Moeving Mobility Platform: Designed scalable Python microservices for real-time fleet management. MTailor: Automated ML pipelines for computer vision body measurements. Surmount.AI: Built AI-powered legal assistant using Django + FastAPI + LLMs. Deflection.AI: Customer support system with Python APIs + vector similarity + NLP. I help startups and enterprises turn ideas into production-ready software. From rapid MVPs to AI-powered platforms, I combine deep technical expertise with hands-on leadership, guiding global cross-functional teams to deliver results on time and at scale. I am a CTO-level Senior Python Developer to lead the technical direction and hands-on development of a scalable, cloud-native platform built on Python and AWS ๐—–๐—ผ๐—ฟ๐—ฒ ๐—˜๐˜…๐—ฝ๐—ฒ๐—ฟ๐˜๐—ถ๐˜€๐—ฒ: Backend & APIs: Python (FastAPI, Django, Flask), REST, GraphQL, async programming, microservices Databases: PostgreSQL, MySQL, MongoDB, Redis (optimized schemas, queries, and data modeling) AI/ML & Data: LLMs (OpenAI GPT, Whisper), NLP pipelines, TensorFlow, PyTorch, Pandas, NumPy Cloud & DevOps: AWS (Lambda, ECS, RDS, S3), GCP, Azure, Docker, Kubernetes, CI/CD automation Full Stack Collaboration: React, Next.js, Vue.js with secure, Python-driven backends ๐—ช๐—ต๐—ฎ๐˜ ๐—œ ๐——๐—ฒ๐—น๐—ถ๐˜ƒ๐—ฒ๐—ฟ: โœ”๏ธ Scalable REST/GraphQL APIs & microservices โœ”๏ธ Data pipelines & AI/ML-powered systems โœ”๏ธ Cloud-native architectures (AWS/GCP/Azure) โœ”๏ธ Secure, tested, and future-proof code (CI/CD) โœ”๏ธ MVP-to-enterprise scaling with clear communication ๐—ž๐—ฒ๐˜†๐˜„๐—ผ๐—ฟ๐—ฑ๐˜€: Python Developer | Django Expert | FastAPI Developer | Flask Developer | Backend Engineer | API Development | AI/ML Engineer | Chatbot Developer | NLP Specialist | React Developer | SaaS Architecture | Cloud & DevOps | Docker | AWS | Data Pipelines | LLMs | TensorFlow | PyTorch | Web Scraping

How it works

Post a job for freePost a job

Tell us what you need. Create your own job post or generate one with AI then filter talent matches.

Hire top talent fast

Consult, interview, and hire quickly, so you can meet the freelancers you're excited about.

Collaborate easily

Use Upwork to chat or video call, share files, and track project progress right from the app.

Payment simplified

Manage payments in one place with flexible billing options. Only pay for approved work, hourly or by milestone.

Don't just take our word for it

Resources to help you hire

Cost to hire a Python Developer

Cost to hire a Python Developer

Explore typical Python Developer rates and what businesses pay to hire top talent.

Python Developer job description template

Python Developer job description template

Get tips to write a job post that attracts qualified Python Developers.

Python Developer interview questions

Python Developer interview questions

Top interview questions to help you hire the right Python Developers, faster.

Python developer hiring guide

Hiring a Python developer helps turn complex requirements into production-ready software that powers automation, data analysis, web applications, and AI across nearly every industry. From a custom API to a machine learning pipeline or a scalable back end, the right developer helps you ship faster and operate more reliably.

What does a Python developer do?

A Python developer designs, builds, and maintains software using one of the world's most widely used programming languages. They work across web development, data engineering, artificial intelligence, process automation, and data analysis, using frameworks such as Django, Flask, and FastAPI along with libraries like Pandas, NumPy, and TensorFlow. Because Python's readable syntax and extensive ecosystem allow developers to move efficiently from prototyping to production, they can add value to everything from internal tools and customer-facing applications to large-scale data projects.

Common responsibilities for Python developers include:

  • Build and deploy web applications and RESTful APIs
  • Create data pipelines and analytics dashboards
  • Develop machine learning models for predictive analysis and natural language processing
  • Automate business workflows with custom scripts
  • Configure cloud infrastructure using Docker, Kubernetes, and AWS or Azure

How to hire a Python developer on Upwork

Upwork's structured hiring process helps you move from job post to signed contract in days or even hours. That works whether you need a specialist for a one-time project or a long-term development partner. It's a proven path: 89% of first-time clients complete a contract on Upwork. Follow these four steps to find and hire the right developer for your project.

Step 1: Craft a targeted job post

To begin, create a detailed job post that clearly describes your application, technical requirements, and desired outcomes.

  • Specify your tech stack, frameworks, and tools, such as Django, Flask, FastAPI, TensorFlow, PyTorch, Pandas, NumPy, Celery, or SQL databases
  • Define the project type, whether it's a web application, API, automation script, data pipeline, machine learning solution, or ongoing support engagement
  • Describe any cloud infrastructure, databases, third-party APIs, or deployment environments involved in the project
  • Clarify whether you're building a new application, maintaining an existing codebase, migrating systems, or improving performance
  • Include expected user volume, scalability requirements, security considerations, and performance goals if relevant
  • Share your timeline, budget range, and major project milestones
  • Draw ideas for content and structure from this Python developer job description
  • Add screening questions to evaluate experience with the specific technologies your project requires

Use the Job Post Generator, powered by Umaโ„ข, Upwork's Mindful AI, to speed things up. Describe what you need in a few sentences, and Uma will draft a job post tailored for the role that you can review and customize.

Step 2: Filter and evaluate candidates

Review proposals and narrow your shortlist based on technical expertise, relevant project experience, and demonstrated results.

  • Filter by Python specialization, framework expertise, industry experience, and project type
  • Review portfolios, GitHub repositories, open-source contributions, and client work samples when available
  • Look for experience with the frameworks, databases, cloud platforms, and integrations used in your environment
  • Evaluate examples of API development, automation workflows, web applications, or data engineering projects similar to yours
  • Review client feedback for evidence of technical expertise, communication skills, reliability, and problem-solving ability
  • Check Job Success Scores (JSS) and talent badges such as Top Rated, Top Rated Plus, or Expert-Vetted for added confidence

Use Uma to run instant interviews using your screening questions, generate candidate shortlists, and compare applicants side by side against your requirements.

Step 3: Interview top choices

Interview shortlisted candidates to evaluate their technical depth, development process, and ability to support your project.

  • Ask about experience with the specific frameworks, tools, and technologies your project requires
  • Discuss how they approach application architecture, database design, performance optimization, testing, and deployment
  • Explore their experience debugging production issues, maintaining existing systems, and scaling applications as usage grows
  • Review their approach to code quality, version control, documentation, security, and automated testing
  • Discuss how they handle changing requirements, technical tradeoffs, stakeholder feedback, and cross-functional collaboration
  • Consider a small paid assessment or code review to gauge practical problem-solving skills and coding style
  • Use these Python developer interview questions as a starting point and tailor follow-ups to your project

Schedule and conduct interviews within Upwork Messages, then review the transcript and summary afterward to compare candidates efficiently

Step 4: Agree on scope and begin work

Finalize the engagement details and establish clear expectations before development begins.

  • Define deliverables, milestones, timelines, acceptance criteria, and project responsibilities in the contract
  • Choose between fixed-price or hourly billing based on the project's scope, complexity, and expected duration
  • Align on application architecture, deployment strategy, documentation requirements, and maintenance expectations
  • Confirm access to repositories, cloud environments, APIs, databases, and other technical resources required for the work
  • Establish a regular communication cadence for progress updates, code reviews, demos, and milestone approvals

Use messaging and the contract workroom to manage communication, files, and project updates in one place. Upworkโ€™s identity verification, Hourly Payment Protection, and project funds support a secure engagement.ย 

Upwork is not affiliated with and does not sponsor or endorse any of the tools or services discussed in this article. These tools and services are provided only as potential options, and each reader and company should take the time needed to adequately analyze and determine the tools or services that would best fit their specific needs and situation.

The rates and information provided in this article are based on current data and industry sources available at the time of publication. Freelance rates can vary depending on factors such as experience, location, project scope, and market conditions. Readers are encouraged to conduct their own research to confirm current rates and trends, as this information may change over time.

How much does hiring a Python developer cost?

Hiring a Python developer $20-$40 per hour. Rates vary depending on project scope and complexity and developer experience. Project-based pricing is common; review these rates to help estimate your budget for Python development.

Automation or scraping script

$250-$1,500/project

Junior to mid
  • Custom Python scripts
  • Scheduled data scraping
  • Workflow automation

Web application or REST API

$1,000-$6,000/project

Mid to senior
  • Django or Flask app
  • RESTful API endpoints
  • Database integration

Data pipeline or dashboard

$750-$4,000/project

Mid to senior
  • ETL pipelines
  • Analytics dashboards
  • Reporting automation

Machine learning or AI integration

$1,500-$8,000/project

Senior to expert
  • Model training and tuning
  • LLM or NLP features
  • Model deployment

Ongoing development and support

$1,500-$5,000/project

Mid to senior
  • Feature development
  • Maintenance and fixes
  • Performance tuning

Frequently asked questions

Is hiring a Python developer worth it?

For most teams, yes, hiring a Python developer is worth it. Python's versatility across web development, data engineering, automation, and AI allows a skilled developer to support a wide range of projects using a single language and ecosystem.

Where can I hire Python developers?

You can hire Python developers on Upwork, where you can review portfolios, GitHub activity, and client feedback before you commit. Filtering by framework and project type helps you match the right specialist to your work. On Upwork, the median time from posting a job to the first hire is just six hours.

Are Python developers still in demand in 2026?

Yes, Python remains one of the most widely used programming languages, driven by its role in AI, data, and back-end work. At the same time, Python's popularity has created a broad talent pool, giving businesses access to developers with a variety of technical specialties. Upwork has 170,000 freelancers with 5-star ratings, including Python developers.

What should a Python developer's rate include?

A Python developerโ€™s rate should reflect scope, seniority, and the frameworks involved, plus expectations for testing, documentation, and code review. Clarifying these up front prevents surprises once work begins.