AI / LLM Engineer

About act digital

act digital is an international consulting and engineering group that supports its clients in their digital transformation projects. Present in 12 countries and with more than 5,600 employees, we leverage our expertise to address their challenges in software development, cybersecurity, data, cloud, and AI. Our ambition: to become the trusted technology partner of the most innovative companies, by designing and securing systems that enhance their performance and resilience. Joining act digital means becoming part of an agile and committed organization that works closely with its clients to turn ideas into concrete results, with pragmatism and high standards.

Job Description

You will join our delivery center, working within a team of experts in software solution development. Your responsibilities will include:

• Design, develop, and deploy AI solutions based on Large Language Models (LLMs) in secure and production-grade environments
• Select, evaluate, and integrate foundation models with a strong focus on European data sovereignty and compliance
• Implement Retrieval-Augmented Generation (RAG) pipelines using embeddings, vector databases, and optimized retrieval strategies
• Fine-tune and adapt models (e.g., LoRA, PEFT) to meet specific business and regulatory requirements
• Build and maintain scalable AI services and APIs using Python, PyTorch, and Hugging Face ecosystems
• Containerize and deploy AI applications using Docker and CI/CD pipelines in controlled environments

Profile / Requirements

What profile are we looking for for this position:

• Must-have skills:
  • Strong experience with LLMs / foundation models / transformers
  • Very strong Python skills
  • Experience with PyTorch, Hugging Face, APIs, and model integration
  • Experience with RAG, embeddings, fine-tuning / LoRA
  • Experience with Docker, Git, CI/CD, and production-oriented setups
  • Solid understanding of data protection / GDPR, data sovereignty, and secure model usage
  • Experience with security topics such as prompt injection, data leakage, and access control
  • Ability to implement and operate models in controlled European environments
• Requirements:
  • Select, integrate, and adapt AI models with a focus on European sovereignty
  • Build secure and traceable AI solutions for enterprise environments
  • Evaluate models in terms of quality, risk, privacy, and operability
  • Document model usage, data sources, limitations, and risks
  • Work closely with security, privacy, architecture, and business teams
  • Strong focus on productive delivery, not only PoCs or prompt engineering

Key skills/competency

• AI / LLM Engineer
• Large Language Models (LLMs)
• Foundation Models
• Transformers
• Python
• PyTorch
• Hugging Face
• Retrieval-Augmented Generation (RAG)
• Fine-tuning
• Docker