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Python Backend Development

Secure, scalable Python backend development by dedicated developers who work with AI tools. AI drafts the Django and FastAPI endpoints, ORM models and pytest suites; your developer reviews every line, so you ship sooner.

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info Python Engineering

Advanced Server-Side Architectures

Our Python engineering team builds enterprise-grade backends, RESTful APIs, and microservice environments designed for large data volumes.

We use proven frameworks like Django, FastAPI and Flask with modern CI/CD practices to build systems that are secure by design and perform well.

Whether you are processing financial transactions, routing IoT data, or building AI/ML inference pipelines, we design architectures that can scale with your growth while keeping technical debt under control.

2008

Founded

24h

Reply to inquiries

100%

Code & IP ownership

NDA

Signed before kickoff

Python backend development server racks code

Security

Secure by Design

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Our Python Ecosystem Competence

We cover the whole backend - from API design to high-throughput message brokers and deployment.

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storage

Django & FastAPI

We build full-featured applications with Django's ORM and batteries-included admin, which lets features ship quickly. For asynchronous, high-volume I/O we build fast microservices on FastAPI and Pydantic.

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cable

Data Engineering

A backend is only as good as its data layer. We connect Python services to relational databases like PostgreSQL and caches like Redis, and move heavy workloads to asynchronous task queues with Celery and RabbitMQ or Kafka.

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Python Engineering Services

From REST APIs to machine learning model serving.

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API Development & Architecture

We build fast, versioned REST and GraphQL endpoints with OpenAPI (Swagger) documentation, so other teams can integrate easily.

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Cloud Microservices

Break monoliths into independent, containerised microservices on AWS EKS or Azure Kubernetes Service, so failures stay isolated.

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AI/ML Integrations

We take models built with PyTorch or TensorFlow and serve them through scalable Python inference APIs.

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3rd-Party API Gateways

Build secure API gateways and reverse proxies that connect legacy platforms to new systems using modern authentication such as OAuth 2.0.

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Security Reviews

Testing backends against injection and authentication flaws, and designing data handling around GDPR requirements.

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DevOps & CI/CD Pipelines

Automate test suites and set up GitHub Actions or GitLab pipelines that run tests, linting and security checks before deploying through container registries.

Engagement Models

Flexible Ways to Work With Us

Every client relationship is different. We offer three engagement models to suit different team sizes, budgets, and timelines.

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Dedicated Resource Model

A full-time, dedicated Python developer embedded in your team who works with AI tools for API scaffolding, data access and test generation. You direct their work daily; they join your stand-ups, sprints and code reviews like an in-house hire and review every AI-assisted change.

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Fixed Price Model

A defined scope, fixed timeline, and a fixed budget. Best for well-specified projects where requirements are stable. We provide a detailed SoW, milestone payments, and a sign-off process at each delivery phase.

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Time & Material Model

Pay only for the hours worked, with full transparency via weekly timesheets and detailed task logs. Ideal for evolving products where scope changes frequently and you need maximum flexibility to reprioritise.

Pixel & Bots

Pixel-perfect software, delivered at AI speed

PixoBots stands for Pixel & Bots. Our Bots are dedicated developers who work with AI tools: AI takes the repetitive work, a developer reviews every line, and the result is pixel-perfect.

Pixel

Polished UI and clean, tested code - detail is part of the job, not an afterthought.

Bots

Dedicated developers who join your team and use AI for boilerplate, tests and documentation.

Savings

AI-assisted delivery can save more than 50% of development cost compared with traditional development.

How AI-augmented delivery works

Ready to Build Your Python Backend?

Partner with our Python engineers to ship secure, scalable, high-performance server-side systems.

help_outline FAQ

Frequently asked questions

Django, FastAPI or Flask: which Python framework should we use? expand_more
Choose Django for full-featured web applications that benefit from its built-in admin, ORM and authentication. Choose FastAPI for high-performance async APIs and AI or machine learning services, with automatic OpenAPI documentation. Flask suits small, simple services. We select the framework based on your product, team skills and performance needs.
Is Python fast enough for a production back end? expand_more
Yes, for the vast majority of web and API workloads. Response times are usually limited by databases and network calls rather than the language, and async frameworks like FastAPI handle high concurrency well. For CPU-heavy work we use caching, background workers and optimised libraries, or move hot paths into faster dedicated services.
How much does Python development cost? expand_more
The cost depends on scope. The main drivers are the number of features and integrations, data and AI components, user roles and security, performance requirements and whether you need a dedicated team or a fixed project. PixoBots quotes after a short discovery call and prices by milestone, and you own all the code and IP.
Can you modernise our legacy Python application? expand_more
Yes. We upgrade older Python versions and frameworks to currently supported releases, add automated tests first to protect existing behaviour, update dependencies, fix security issues and refactor problem areas incrementally. Remaining Python 2 code is migrated to Python 3. Changes are released in small, tested steps so the application can stay in service while it is modernised.
Do you build AI and data applications in Python? expand_more
Yes. Python is the main language for AI and data work, and we use it to build LLM-powered features, retrieval-augmented generation, data pipelines, machine learning model serving and analytics APIs. We integrate hosted models from providers such as OpenAI, Anthropic and Azure OpenAI, or open-source models, depending on your cost and privacy needs.