Cloud software engineer Jobs in Nalbach
- Gesponsert
Data Engineer - AI & System Integration (m / f / n)
EnovosMettlach, DE- Gesponsert
Cloud Engineer
Proximus LuxembourgMettlach, DE- Gesponsert
Professor in Cloud Systems Engineering (Google Cloud supported)
Université du LuxembourgMerzig, DE- Gesponsert
CLOUD ENGINEER
Deloitte LuxembourgMerzig, DE- Gesponsert
NSI - VMWare Cloud Engineer
NSI Luxembourg PSFMettlach, DE- Gesponsert
Embedded Software Development Engineer (m / f)
IEEMettlach, DE- Gesponsert
Senior Azure Cloud Engineer
ARHS Group Part of AccentureMerzig, DE- Gesponsert
Internship - Software Engineer (m / f / d)
Paul Wurth / Paul Wurth GeproluxMettlach, DE- Gesponsert
Software Engineer (.Net / React)
GentisMerzig, DE- Gesponsert
DevSecOps Engineer
JAOMerzig, DE- Gesponsert
.net Software Engineer (F / M)
TLIMettlach, DE- Gesponsert
SRE Engineer
ING LuxembourgMerzig, DE- Gesponsert
IT System Engineer (M / F)
CLdN SAMerzig, DE- Gesponsert
Cloud Engineer (m / f)
ExperisMerzig, DE- Gesponsert
JIRA / Automation Engineer
TMC LuxembourgMerzig, DEData Engineer - AI & System Integration (m / f / n)
EnovosMettlach, DEData Engineer - AI & System Integration (m / f / n)
Department : Energy Business IT| Location : Esch-sur-Alzette| Contract : Permanent | Job Requisitions N° 19532
We are looking for a Data Engineer to join our AI team and work on cutting-edge projects that combine data engineering, backend development, and AI-driven automation.
This opportunity is ideal for someone who enjoys working at the intersection of data, software engineering, and AI, designing systems that integrate large language models (LLMs) and other AI capabilities into business processes.
Your tasks
- 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 data pipelines and system integrations (APIs, SQL, event-driven architectures) to connect multiple platforms
- You implement AI-powered workflows, including retrieval-augmented generation (RAG), to enhance automation and decision-making
- You apply basic ML techniques (e.g., clustering) to organize and process data efficiently in an engineering context (no deep ML expertise required)
- You contribute to the full AI stack, from backend engineering to AI service deployment, with a strong engineering approach
- You develop and maintain frontend components (React) where needed to support AI-driven applications
- You ensure scalability, monitoring, and maintainability of deployed AI solutions in a cloud-native environment (AWS, Kubernetes, GitOps)
Your profile
What we offer
Together we build the future of Luxembourg’s energy transition”.
For external applications, a recent copy of the police record will be requested if you are invited for an interview.