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

Enovos; Berlin; Hybrid; EUR 70.000 - 100.000; Vollzeit

Zusammenfassung

A leading company in the energy sector is seeking a Generative AI Engineer to join its AI solutions team in Berlin. In this role, you will develop backend services that integrate AI capabilities across various domains, design RAG pipelines, and ensure secure enterprise integrations. This position offers a competitive salary, a multicultural environment, and a hybrid working model supporting the energy transition in Luxembourg.

Leistungen

Pension plan

Additional health insurance

Free parking

Company restaurant

Meal vouchers

Continuous learning and development

Qualifikationen

• Experience with GenAI or LLM applications in production.
• Building and integrating data-driven backend services.
• Comfortable with database management and security-minded.

Aufgaben

• Develop and maintain backend services integrating AI capabilities.
• Design and optimize RAG pipelines and evaluate LLM services.
• Collaborate with AI Solution Engineers through the delivery cycle.

Kenntnisse

Python

Backend Development

API Services

Communication

Team Spirit

Ausbildung

University degree in computer science

Engineering, mathematics, or economics

Tools

GitLab CI/CD

Kubernetes

AzureOpenAI

pgvector

Jobbeschreibung

Department : Energy Business IT| Location : Esch-sur-Alzette| Contract : Permanent | Job Requisitions N° 19721

We are looking for a Generative AI Engineer to join our AI solutions team and deliver production-grade services that combine backend development and secure LLM integration.

This role suits an engineer who thrives at the intersection of software, cloud and GenAI, turning cutting-edge models into reliable business capabilities.

• 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

Your profile

• 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

What we offer

Together we build the future of Luxembourg’s energy transition”.

• 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

For external applications, a recent copy of the police record will be requested if you are invited for an interview.