Lead Python Full-Stack Engineer

We’re looking for a Lead Python Full-Stack Engineer to join our team in the Netherlands in a hybrid working mode. In this role, you will work on building scalable, cloud-native applications with integrated AI/ML capabilities. You’ll combine deep expertise in Python backend development with solid frontend skills and hands-on experience implementing LLM-based solutions. This position involves delivering full-stack features end-to-end while applying engineering best practices in a dynamic environment.

Responsibilities

Design, develop, and optimize Python-based backend services using frameworks such as FastAPI or Django

Build responsive, user-focused frontend interfaces leveraging React.js and TypeScript

Develop and integrate RESTful/GraphQL APIs and microservices into cloud-native architectures

Implement AI/ML features and LLM-based solutions in production systems

Apply industry best practices: testing strategies, code reviews, CI/CD pipeline management

Work within Microsoft Azure and containerized environments (Docker, Kubernetes)

Collaborate with cross-functional teams to deliver full-stack features aligned with delivery goals

Participate in architecture discussions and contribute to technical decisions

Ensure observability, performance tuning and cost optimization for deployed applications

Requirements

5+ years of professional experience in software engineering with Python as the main language

Strong backend development expertise using FastAPI or similar Python frameworks

Proficiency in building frontends with React.js and TypeScript

Hands-on experience integrating AI/ML solutions – including LLM APIs (OpenAI, Azure OpenAI) or LangChain

Knowledge of Microsoft Azure cloud services and CI/CD workflows using GitHub Actions

Solid understanding of microservices, REST API design and container orchestration (Docker, Kubernetes)

Experience building RAG pipelines for AI/ML use cases

Strong knowledge of SQL/NoSQL databases (PostgreSQL, MongoDB, etc.)

Excellent communication and documentation skills in English

Nice to have Experience with Azure AI Foundry tools and GenAI-assisted development workflows

Familiarity with Databricks, data engineering pipelines

Exposure to DevOps practices and Infrastructure as Code

Understanding of MLOps and model operationalization frameworks

Knowledge of additional relational DBs (e.g., Microsoft SQL Server)

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