AI Engineer / Developer – Generative AI

Médiane Benelux: Career Booster!

Since 2017, and with over 35 years of experience in France and Italy, Médiane Benelux is an engineering company specializing in software, electronics, and cybersecurity across key sectors such as Railways, Automotive, Energy, Medical, Aerospace, Space, Telecoms, Industry, and Defense.

🌐 What We Offer

• IT consulting and strategy
• Digital transformation and IoT solutions
• Project management and process optimization
  
  

🔧 As specialists in electronics, development, and embedded systems design, we operate from sensor to cloud.

Why choose Médiane Benelux?

• Human-sized company: Promotes teamwork and collaboration in a dynamic and stimulating environment
• Sharp technical expertise and tailored solutions for each sector
• Talent support: Personalized follow-up, continuous training, and skill development for our employees
• Custom solutions tailored to the specific needs of each client
• Culture of innovation: Participation in innovative and varied projects
• Ecovadis Gold certification: Commitment to equality, well-being, and responsibility
• Human values: Commitment, Respect, Trust, Listening
• "Happy at Work" and "Happy Clients" labels by Choose my Company: A fulfilling work environment and optimal client satisfaction
  
  

Job Description

Our client, a leading player in the energy and utilities sector, is launching a pilot project to integrate Generative AI (GenAI) solutions within its Microsoft Azure environment. The main goal is to develop a chatbot based on large language models (LLMs) that can automatically query internal technical documentation (hosted on SharePoint Online) to answer field workers' questions efficiently.

This initiative is part of a controlled innovation approach to deliver a Minimum Viable Product (MVP), with the potential for future expansion based on results and adoption. The project ensures compliance with security and corporate standards.

Mission / Responsibilities

The AI Engineer / Developer Will

Lead the technical construction of the GenAI solution, from data ingestion to deployment

Choose, implement, and fine-tune LLM models for the chatbot.

Manage vector databases and optimize data pipelines for structured and unstructured documents.

Implement Retrieval-Augmented Generation (RAG) workflows for accurate information retrieval.

Collaborate with DevOps teams to deploy the solution securely in Azure.

Optimize prompts and supervise model performance, retraining, and versioning.

Ensure the solution complies with security, IAM, and RBAC standards.

Technical Context

Cloud environment: Microsoft Azure

Data: Internal technical documentation (PDF) on SharePoint Online

Target architecture: Secure chatbot using LLM and RAG, deployed in Azure

Technologies considered: Python, Azure OpenAI, CI/CD, REST API

Must-Have Skills

Software development: Strong proficiency in Python, SQL, JavaScript, or .NET.

Data engineering: Experience in data preparation, pipelines, cleaning, and ingestion.

AI / Machine Learning: Implementation, configuration, and testing of LLM models, NLP, and RAG workflows.

MLOps: Monitoring, retraining, and versioning of AI models.

Hands-on experience with Retrieval-Augmented Generation (RAG).

Nice-to-Have Skills

CI/CD & automation: Experience with continuous integration for Dev or Data environments.

REST API: Design and implementation experience.

Prompt engineering: Optimizing interactions with AI models.

Vector databases: Setup and management (Pinecone, FAISS, etc.).

Profile / Requirements

Profile

Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field.

Proven experience in implementing AI solutions in cloud environments, preferably Azure.

Strong problem-solving skills and ability to work independently in a fast-paced innovation context.

Fluent in English; French or Dutch is a plus.

Why Join

Work on a cutting-edge Generative AI pilot project in the energy sector.

Opportunity to shape the future of field worker support and digital transformation.

Collaborative, innovation-driven environment with strong focus on learning and experimentation.

Benefits

Attractive salary package, additional legal days off, mobility package (transport or car), DKV, Group Insurance, Meal vouchers, Eco vouchers, Training opportunities.