Expert Data Engineer - GenAI & ERP Transformation (m/f/n)

Enovos Luxembourg; Lu; In loco; EUR 50.000 - 70.000; Tempo pieno

Descrizione del lavoro

A leading energy solutions company is hiring an experienced AI Solutions Engineer focused on Generative AI for ERP systems. Key responsibilities include developing proof-of-concepts and enhancing existing ERP capabilities using cutting-edge technologies like Azure OpenAI and Python. The ideal candidate brings at least 5 years of experience with strong skills in data handling and collaboration with stakeholders.

Competenze

• Minimum 5 years in engineering on ERP or enterprise systems with data migration and process automation.
• Familiar with running GenAI/LLM solutions in production.
• Strong expertise in analyzing system logs and tables.

Mansioni

• Develop GenAI PoCs for key ERP streams and build knowledge-mining chatbots.
• Reverse-engineer existing ERP for clear technical documentation.
• Leverage AI for traditional use cases like forecasting and offer generation.

Conoscenze

Generative AI experience

Python

SQL

GitLab CI/CD

Collaboration with stakeholders

Documentation skills

Formazione

University degree in computer science/engineering, mathematics, economics or equivalent experience

Strumenti

Azure OpenAI

PostgreSQL

Kubernetes

Descrizione del lavoro

Overview

Join our AI Solutions department and put Generative AI to work on a multi-year ERP replacement. Your mission is hands-on: build proof-of-concepts that set the technical direction of the new platform and extract knowledge from the current ERP landscape. You will code, test, document, refine and hand over clean deliverables the project team can carry forward.

Responsibilities

• You develop GenAI PoCs for key ERP streams and build knowledge-mining chatbots, process-mining visualisations, data-migration copilots, test-case generators and similar accelerators with Azure OpenAI, pgvector and Python
• You reverse-engineer the existing ERP; parse tables, logs and legacy specs to generate clear, current technical documentation and searchable knowledge bases
• You leverage AI support in implementing traditional use cases such as forecasting, offer generation, billing and dunning analysis
• You analyse and decide with peers the best linkage of GenAI with ERP processes
• You align PoCs with the project plan and work closely with functional and integration experts to ensure every prototype answers a real need and can evolve toward production
• You deliver technical GenAI training on demand (prompt engineering, RAG patterns, secure LLM usage) for developers and power users
• You package code for a smooth hand-off by applying GitLab CI/CD, containerise on Kubernetes, and document guardrails and data-privacy measures so accelerators are ready for the next release wave

Your profile

• You hold a university degree in computer science/engineering, mathematics, economics or have equivalent working experience of minimum 5 years in engineering on ERP or other large enterprise systems with hands-on experience in data migration, process automation or custom extensions
• You are familiar with creating or running GenAI/LLM solutions in production (RAG pipelines, prompt engineering, vector search)
• You have strong Python & SQL skills and can ship robust services and REST APIs
• Production experience with Azure OpenAI and PostgreSQL + pgvector
• You are comfortable with GitLab CI/CD workflows and containerised deployments on Kubernetes
• You demonstrate strong expertise in analysing system logs, tables and code to produce precise, usable documentation
• You are resilient over long projects and collaborate smoothly with business, functional and technical stakeholders
• Excellent interpersonal skills and an excellent communicator
• You are security-minded and documentation-oriented; every AI capability you deliver is auditable and explainable
• Highly effective verbal and written communication skills in English. A good knowledge of Luxembourgish, German or French is advantageous

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Other

Industries

• IT Services and IT Consulting