Back to SearchLead Python Full-Stack Engineer
Hybrid in Netherlands: Amsterdam
Python.Core
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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)