Working for one of the biggest EU Institutions, you will contribute to the design and implementation of AI assistants and solutions supporting the DG staff in accessing, understanding and using institutional knowledge and increasing their efficiency.

Your responsibilities

• Design, configure and implement AI solutions including retrieval pipelines, model orchestration and prompt strategies. Configure, fine-tune and integrate AI and generative models for specific business use cases

• Experiment with different retrieval strategies, prompt designs, architectures and parameters to optimize solution quality and performance.

• Perform data pre-processing and analysis, gather and clean datasets, ensure data is relevant and structured • Evaluate AI solutions outputs, analyze results and iteratively refine solutions.

• Ensure AI systems are compliant, scalable, efficient and capable of handling large data volumes or near real-time processing.

• Contribute to data engineering activities supporting AI and generative AI solutions.

• Collaborate with business units, clients and IT teams to align AI solutions with organisational needs.

Your profile:

• Practical hands-on experience in the design, implementation and evaluation of AI systems, including generative AI systems

• Experience with Retrieval-Augmented Generation (RAG) architectures, including document ingestion, retrieval and generation

• Experience working with Large Language Models (LLMs) via APIs or open-source models including prompting, orchestration and configuration

• Experience in data analysis and data structure applied to AI

• Ability to design effective prompt templates and system instructions, adapted to specific business use cases and tone of voice

• Experience implementing or integrating AI solutions on cloud platforms (like AWS, Azure)

Our offer:

• Challenging projects in an entrepreneurial environment

• Guidance by a Talent Manager who always has your back

• Learning & development opportunities to help shape your future career path

• Team events and knowledge sharing in our AI & Data consultants community