Data Engineer - GenAI Specialist (m/f/n)

• You develop and maintain backend services that integrate AI capabilities into various domains (IT support, customer service, AI-powered self-service tools for businesses)
• You design, implement and optimise RAG pipelines (AzureOpenAI + pgvector): document loaders, embeddings, vector indexing, caching and performance tuning ...
• You integrate GenAI services with enterprise systems (via REST APIs, webhooks …) and ensure platforms that consume LLM capabilities can do it securely and at scale
• You develop evaluation and guardrail frameworks (LLM as Judge, adversarial tests, prompt injection defence …) for various use cases
• You ensure robust observability of all GenAI components usage, latency, quality signals, drift and feed insights into runbooks and continuous improvement loops
• You collaborate with AI Solution Engineers through the full delivery cycle (design, code reviews, releases, monitoring, iterative enhancements)
• You embed security-by-design with the AI Security Expert
• You contribute to release planning, deployment automation

• You hold a university degree in computer science/engineering, mathematics, economics or equivalent
• You have experience in building and integrating data-driven backend services including demonstrated hands-on with GenAI or LLM applications in production
• You are proficient in Python and have a solid experience developing backend & API services
• You demonstrate proven achievements with LLM services, embeddings and vector databases
• You are comfortable with GitLab CI/CD workflows and containerised deployments on Kubernete
• Security minded and a clear communicator able to explain complex GenAI behaviour to non-experts
• Excellent interpersonal skills, team spirit, and a high degree of self-motivation
• Highly effective verbal and written communication skills in English. A good knowledge of Luxembourgish, German or French will be considered as an advantage

• The opportunity to join a Group that actively shapes the energy transition in Luxembourg and the Greater Region
• A multicultural and international working environment that encourages diversity and inclusion
• A competitive salary with many additional benefits (e.g. pension plan, additional health insurance, free parking, company restaurant, meal vouchers, etc.)
• Continuous learning and development career path adapted to the needs of each employee
• Hybrid working mode with the possibility to work from home

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