Django/Python Backend Developer

Quick Facts

• Role: Django/Python Backend Developer
• Focus: Python backend services, AI/ML integrations, asynchronous and distributed processing, performance and operability

Description

You will design and build production-ready Python backend services with Django, including APIs and integrations between AI models/agents, data, and other systems. The role includes building data and processing pipelines for AI/ML workloads, working on async/distributed processing, and integrating LLM and retrieval/RAG components. You’ll optimize performance, debug issues across the stack, and own solutions from architecture through production operations.

Responsibilities

• Design and implement backend services in Python and Django
• Design APIs and integration layers between AI models/agents, data, and other systems
• Build data and processing pipelines for AI/ML workloads
• Handle asynchronous and distributed processing
• Work with PostgreSQL, Redis, Celery, and other data technologies
• Optimize application performance, database queries, caching, and data flows
• Implement embedding, retrieval, vector search, and custom RAG components
• Integrate LLM models and agent systems into production applications
• Profile and debug issues across applications, databases, networks, and operating systems
• Use Docker, Kubernetes, and CI/CD
• Take responsibility from architecture design to production operations

Requirements

• Very strong Python skills and experience building production backend systems
• Practical experience with Django
• Practical experience with Cursor, Codex, or Claude Code
• Strong knowledge of PostgreSQL and relational databases
• Experience scaling and optimizing production applications
• Understanding of asynchronous programming, concurrency, and background processing
• Practical experience with Celery (or similar mechanisms) for distributed jobs
• Good orientation in Linux/UNIX environments
• Ability to use shell tools and work with processes, permissions, filesystem, networking, logs, and system services
• Ability to diagnose problems independently directly on the server
• Knowledge of Git, automated testing, and common deployment practices

Benefits

• Hybrid work: home-based work with regular in-office meetings in Prague 7, plus flexible working hours
• Innovation time to test new ideas and influence technical direction
• Support for learning through courses, knowledge sharing, and growth with a strong technical team
• Comfortable workplace with a laptop, refreshments, company canteen, relax/game areas, MultiSport card, meal vouchers, and parking
• Additional vacation days, team events, and a culture where performance doesn’t come at the cost of normal life