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We're looking for a Senior Python Developer to join our team in Madrid or Barcelona, Spain in a hybrid working mode. In this role, you will design and implement secure, high-performing backend services that enable generative AI-driven applications across Azure. You will develop GraphQL APIs, optimize relational database structures and integrate AI/LLM functionalities to deliver scalable solutions.
Join a cutting-edge AI platform initiative where your backend engineering expertise will power secure, scalable and innovative AI solutions, improving enterprise productivity and enabling next-generation services. You’ll work closely with DevOps/MLOps teams and data scientists to operationalize advanced AI capabilities in a production environment.
- Design, build and maintain GraphQL APIs using FastAPI and Strawberry
- Integrate AI and LLM APIs (e.g., OpenAI, Anthropic) into backend services with secure data handling
- Architect relational database schemas and implement version-controlled migrations for consistency and performance
- Collaborate with DevOps/MLOps teams to containerize and deploy services on Azure
- Monitor, troubleshoot and optimize backend performance for speed, scalability and cost efficiency
- Implement unit and integration tests to ensure reliability and maintainability
- Apply best practices for API security, performance tuning and error handling
- Participate in CI/CD processes and improve observability for production systems
- Degree in Computer Science, Software Engineering or related field
- Proven experience as a Python Developer building backend services with FastAPI
- Hands-on experience developing GraphQL APIs with tools such as Strawberry
- Strong knowledge of SQL and relational database design; experience with ORMs (e.g., SQLAlchemy)
- Familiarity with integrating AI/LLM APIs and Model Context Protocol (MCP)
- Proficiency in Git, Docker and CI/CD fundamentals
- Understanding of performance optimization, scalability and monitoring practices
- Strong problem-solving skills and ability to work independently and collaboratively
- Excellent English communication skills
- Experience with vector databases or RAG (Retrieval-Augmented Generation) pipelines
- Hands-on experience deploying applications in Microsoft Azure environments
- Familiarity with observability tools and logging frameworks