Hire Remote Python Developers For Product and Data Teams Worldwide Hourly or Monthly
$2,000 a month full time, or $15 an hour
Mid-to-senior Python engineers for APIs, data pipelines and AI features: Django, FastAPI, Flask, Celery, SQLAlchemy, Pandas, scikit-learn and the OpenAI and Claude APIs. A senior team lead reviews and tests every release, and the first 7 days are a risk-free trial.
Build high-quality software solutions that meet your specific business needs and requirements with our python development services. Whether you need a web application, data analysis software, or a machine learning model, our python developers can help you build your dream.

Years of Experience
Talented IT Professionals
Successful Projects
Clients
What a Python developer builds, and which libraries matter
Python does three jobs in most companies: it runs web backends and APIs, it moves and cleans data, and it is the main language for machine learning and AI. A Python developer you hire may spend a week on each. The value of one strong developer is that the API, the data pipeline and the model integration are written in one language by one person who understands how they fit together.
The libraries buyers ask for map onto those jobs. For APIs: Django with Django REST Framework, FastAPI with Pydantic, Flask, and aiohttp for async services. For background work: Celery with Redis or RabbitMQ, and asyncio for concurrent I/O. For data: SQLAlchemy and Alembic, the Django ORM, Pandas, NumPy and Polars, with Apache Airflow or Prefect to schedule the jobs. For machine learning: scikit-learn for classical models and PyTorch for deep learning. For AI: the OpenAI, Anthropic and Google SDKs, pgvector, Pinecone or Qdrant for retrieval, and LangChain or LangGraph for agents. For quality: pytest, type hints and mypy.
Most Python developers we place join a product that already exists. The work is extending an API without breaking its clients, moving a slow endpoint's work into background jobs, turning a nightly script into a scheduled, monitored pipeline, or adding an AI feature that answers from your own documents. When the product needs a web interface too, a React or Next.js developer can work alongside, against the same OpenAPI schema.
Python is slower than Go, Rust or Java for raw computation, and the global interpreter lock limits multi-threaded CPU work. For web, data and AI workloads that rarely decides anything: the time goes into database queries, network calls and model inference, and async code, worker processes, NumPy's compiled internals and native extensions cover the rest. A developer who knows where the time really goes profiles first and optimises the one path that matters.
What companies hire a Python developer for
Six kinds of work make up most Python engagements. Tell us which one describes your roadmap and we introduce a developer who has done it.
REST and GraphQL APIs
Django REST Framework for products with an admin, permissions and many related models; FastAPI for typed, async services with OpenAPI docs generated from the code; Flask for small services and older apps that need extending.
Background jobs and concurrent work
Celery workers for emails, imports, reports and webhooks, scheduled tasks with Celery beat, and asyncio or aiohttp for services that wait on many network calls at once.
Data pipelines and reporting
Extract, clean and load jobs in Pandas or Polars, scheduled in Airflow or Prefect, with SQLAlchemy models and PostgreSQL, BigQuery or Snowflake as the destination, and checks that stop bad data before it reaches a dashboard.
Machine learning with scikit-learn and PyTorch
Classification, forecasting and anomaly scores with scikit-learn, deep learning with PyTorch, and models served behind a FastAPI endpoint with input validation and monitoring.
AI features on your own data
Retrieval over your documents with pgvector, Pinecone or Qdrant, assistants and agents on the OpenAI, Claude and Gemini APIs, speech-to-text with Whisper, Deepgram or AssemblyAI, and evaluations that measure answer quality before a release.
Scraping, monitoring and integrations
Scrapers built with httpx, BeautifulSoup or Playwright that cope with changing pages, monitoring engines that alert on new data, and integrations with Stripe, Twilio, Slack, HubSpot and your partners' APIs.
What our Python developers build
Typical Python work for product and data teams, with the published case study where one exists.
A real-time marketplace monitoring engine
A Python backend that watches user-defined searches across Facebook Marketplace, eBay, Gumtree, Craigslist, OfferUp and other marketplaces, processes scraped listings at high volume, and triggers instant push alerts in a FlutterFlow app with four subscription tiers and six languages.
Django and DRF product backends
Multi-tenant models, role-based permissions, the Django admin your operations team works in, Stripe billing and webhooks, and a documented REST API for the web and mobile apps.
FastAPI services for AI and ML
Typed, async endpoints that wrap model calls, stream responses to the frontend, validate inputs with Pydantic and log each request so answer quality can be measured.
Data jobs that used to be scripts
Nightly CSV imports and one-off notebooks moved into scheduled, tested pipelines with retries, alerts and a record of what ran and when.
Where Python works best alongside another technology
Python covers most backend, data and AI work. In these four cases, pairing it with another stack gives a better result, and we staff both sides.
iOS and Android apps
Keep Python on the server and build the app in Flutter or FlutterFlow, the way MarketPlace Monitor pairs a Python backend with a FlutterFlow app. Empiric Infotech is a FlutterFlow Expert Agency Partner.
The web interface
Python serves the API; the screens are best built in React or Next.js by a frontend developer working against the same schema.
Hot loops that need raw speed
CPU-heavy inner loops run faster as NumPy operations, in separate worker processes or as a compiled extension. The developer profiles first and moves only that path.
One language across the whole stack
If your team writes JavaScript everywhere, a Node.js or MERN stack developer keeps it that way.
Other developers you can hire from Empiric Infotech
If Python is only part of the job, these pages cover the roles that most often sit next to it.
Hire Remote Software Developers From Empiric Infotech LLP
Empiric Infotech is a custom software development company with 75+ engineers and designers, working since 2020 for 200+ clients in 25+ countries. When you hire a Python developer from us, one mid-to-senior engineer joins your team full time and works only on your product: an API in Django or FastAPI, a data pipeline, a scraper that has to keep up with its sources, or an AI feature on top of your own data. Tell us the stack and the next milestone. Within 24 hours we introduce one developer whose past work matches it, you interview them, and they can start inside 48 hours of your sign-off. The NDA and IP assignment are signed before any access, and a senior team lead reviews and tests every release. The monthly plan covers 160 to 172 hours of full-time work, starts with a 7-day risk-free trial and stops with seven days' notice; the hourly plan suits short-term work.
Python developer pricing: hourly or monthly
The same Python developer on two plans. Hourly is pay as you go and suits a fixed, short-term piece of work. Monthly gives you 160 to 172 hours of full-time, exclusive engineering, billed monthly upfront with no annual contract, starts with a 7-day risk-free trial and stops with seven days' notice.
A dedicated Python developer vs Toptal, Upwork and an in-house hire
| Empiric Infotech (dedicated, monthly) | Toptal / Arc.dev premium | Upwork hourly | In-house hire | |
|---|---|---|---|---|
| Cost / month | $2,000 | $9,600 - $24,000 at $60-$150 an hour | Varies with the rate and the hours | $14,165 - $15,298 (US median salary $135,980 plus 25-35% employer costs) |
| Hours | 160 to 172 a month, full-time and exclusive | Billed by the hour | Billed by the hour | About 160 a month, less leave and holidays |
| Stack breadth | Django, FastAPI, Flask, Celery, data and AI in one developer | Often one framework | Varies by contractor | Depends on the hire |
| AI and ML | OpenAI, Claude and Gemini APIs, RAG, scikit-learn, PyTorch | Premium AI rates | Varies by contractor | Depends on the hire |
| Testing | pytest suites and type checks in your CI | Varies by contractor | Often left to you | Depends on your process |
| Release review | A senior team lead reviews and tests every release | Your team reviews | Your team reviews | Your team reviews |
| Time to start | 48 hours after sign-off | 1 to 2 weeks | 1 to 30 days | 3 to 5 months to recruit |
| Trial | 7-day risk-free trial | 2-week trial period | Milestone-based | Probation period |
| If the fit is wrong | Replaced at no cost, at any time | Manual rematch | Post the job again | Recruit and onboard again |
| Contract | Monthly, seven days' notice to stop | Per engagement terms | Per contract | Employment contract and notice period |
Working hours and time zone overlap for Python work
Our team works 09:30 AM - 07:30 PM IST and a project manager is on call 07:30 AM - 11:00 PM IST, Monday to Friday. Here is exactly when that lands for clients in the US, Europe and Australia, your region first.
US Eastern (New York, Boston, Atlanta) - full team online 12:00 AM - 10:00 AM, project manager 10:00 PM - 1:30 PM (next day).
US Pacific (Los Angeles, San Francisco, Seattle) - full team online 9:00 PM - 7:00 AM (next day), project manager 7:00 PM - 10:30 AM (next day).
UK & Ireland (London, Dublin) - full team online 5:00 AM - 3:00 PM, project manager 3:00 AM - 6:30 PM.
Central Europe (Berlin, Paris, Amsterdam, Madrid) - full team online 6:00 AM - 4:00 PM, project manager 4:00 AM - 7:30 PM.
Australia East (Sydney, Melbourne, Brisbane) - full team online 3:00 PM - 1:00 AM (next day), project manager 1:00 PM - 4:30 AM (next day).
Want it to the half-hour in your own time? Slide through your day and book a slot below.
Why teams hire Python developers from Empiric Infotech
Production Python is rarely one framework. A typical product runs Django or FastAPI for the API, Celery for background work, SQLAlchemy or the Django ORM over PostgreSQL, Pandas somewhere in reporting, and now an AI feature calling a model API with retrieval over its own data. A developer who knows one slice stops at its edge. Ours work across all of it, and they know when FastAPI beats Django, when a Celery task beats an async call, and when a plain SQL query beats the ORM.
Every developer clears technical interviews, a real-world coding test and a portfolio review before any engagement. We introduce the one whose recent work matches your problem, whether that is a Django codebase, a data pipeline or an AI feature, and you interview them yourself. A senior team lead reviews and tests every release. Empiric Infotech is also a partner in micro1's Company Data Partnerships Program, where our engineers test and score frontier AI models; the same engineers build AI features for clients.
The first two weeks follow a set pattern. Within 48 hours of your sign-off the developer has access to your repository, environments and ticket board and joins your standup. In week one they ship a first pull request, such as a bug fix, a new endpoint with its tests or a slow query made fast, so you see their code early. On day seven you decide whether to continue; if you stop, the first invoice is refunded. From week two they work your normal backlog, month to month, with seven days' notice to stop.
See how the in-house figure is calculated in our Software Development Cost Benchmark 2026.
How a Python engagement with Empiric Infotech LLP works
Real client engagements with product teams worldwide
MarketPlace Monitor (United Kingdom, e-commerce SaaS)
A four-person team built the cross-platform app and its Python backend: a real-time engine that monitors searches across several marketplaces, handles high-volume scraping and sends instant push alerts. Live since June 2024 with regular updates.
Read case studyEndoDNA (USA, healthcare SaaS)
A single dedicated developer built and extended this HIPAA-compliant, multi-tenant clinic platform: role-based access for five user roles, lab and genetic data in Supabase and PostgreSQL, an AI assistant that streams its answers, and Stripe billing. Built in React and TypeScript.
Read case studyArchitecture CRM (Australia, task management and CRM)
A single dedicated developer built the backend and the dashboard: a Node.js and Express API on MongoDB, OAuth sync of email, calendars and contacts from Google and Microsoft, Stripe subscriptions and Docker deployments.
Read case studyOur Hiring and Engagement Model
Dedicated Resources
Hourly Basis
Hire a Dedicated Python Developer As per Your Need
As a leading web and mobile app development company in the USA, Empiric Infotech LLP simplified the process of hiring web and mobile app developers. You can hire software engineers in 3 simple steps: Request, Interview, and Hire.
STEP 01
Request
Share your requirements
STEP 02
Interview
Take developer’s interview
STEP 03
Hire
Start risk-free work
Frequently Asked Questions (FAQs)
In-house in the US, about $14,165 to $15,298 a month: the median software developer salary is $135,980 a year (BLS, May 2025), and employer costs add 25 to 35%. Contractor marketplaces bill by the hour, so the cost moves with the hours. A remote dedicated Python developer from Empiric Infotech is a flat monthly fee for 160 to 172 hours of full-time work, the same fee whether the month goes on Django, FastAPI, data or AI work, or a pay-as-you-go hourly plan for short-term work. The current rates are in the pricing section above.
All three, chosen per service. Django with Django REST Framework suits products with an admin, permissions and many related models. FastAPI suits typed, async APIs and AI or ML services. Flask suits small services and older apps that need extending. A common pattern is Django for the core product and FastAPI for one or two async services.
Yes. They build assistants, question answering over your documents with retrieval in pgvector, Pinecone or Qdrant, structured data extraction, speech-to-text with Whisper, and agent workflows with LangGraph, on the OpenAI, Anthropic and Google APIs, with evaluations that check answer quality before release. For work that is mostly AI, our AI developers page covers engineers who focus on it full time.
Yes. Data work covers Pandas, Polars and NumPy transformations, SQLAlchemy models, Airflow or Prefect scheduling and loads into PostgreSQL, BigQuery or Snowflake. Machine learning covers scikit-learn models for classification, forecasting and anomaly scores, PyTorch for deep learning, and serving models behind FastAPI. Tell us which, and we introduce a developer who has done that kind of work.
Yes. Celery with Redis or RabbitMQ for queued and scheduled work such as imports, emails, reports and webhooks; asyncio and aiohttp for services that make many network calls at once; and retries, idempotency and monitoring, so a failed job is visible and safe to rerun.
Three checks happen before any engagement: technical interviews, a real-world coding test and a review of past projects. Then we match the developer's recent work to your stack, and you interview them yourself. The 7-day risk-free trial is the final check, with a senior team lead reviewing their code from the first pull request.
Access and a working environment within 48 hours of your sign-off, your standup from the first day, and a first pull request in week one. On day seven you decide whether to continue, and the first invoice is refunded if you stop. From week two the developer works your normal backlog, with a senior team lead reviewing and testing each release.
Yes. A full-stack developer can own a Django or FastAPI backend and a lighter web interface. For products with a substantial frontend, we pair a Python developer with a React developer, each on their own monthly engagement, working against one API schema.
Yes. The hourly plan is pay as you go and suits a fixed, short-term piece of work. The monthly plan gives you a developer full time for 160 to 172 hours, billed monthly upfront with no annual contract, a 7-day risk-free trial and seven days' notice to stop. Rates for both are in the pricing section.
You do, fully. The NDA and IP assignment are signed before work starts, and all rights in code, schemas, migrations, notebooks and prompts transfer to your company. The developer commits to your repository and deploys to your cloud accounts.
GET A QUOTE NOW
Tell us about your API surface, your data pipeline, and your AI surface, and we'll come up with a viable engagement plan!
Other Services
We provide comprehensive IT solutions to help businesses stay competitive and innovative in today's digital world.





