Applied AI Engineer (Generative AI)

About the role

Sia, a global management consulting group founded in 1999, is recruiting an Applied AI Engineer (Generative AI) for its AI & Data Business Unit in Paris. The engineer acts as a bridge between Data Scientists, ML and Platform Engineers, turning model capabilities into business-centric solutions. The role covers research, design, implementation and optimization of AI systems, from prompts and chains to fine-tuning.

Key responsibilities

• Work in a cross-functional consulting team with customers to design and build bespoke GenAI solutions, assisting the GenAI Solution Architect in application design.
• Develop self-managed and API-accessible GenAI applications that comply with regulations such as GDPR, the EU AI Act and model licenses.
• Design effective prompts and optimize model accuracy with RAG, including source attribution.
• Select and fine-tune models for high-quality multimodal content (images, text, audio, video).
• Research advances in generative AI and stay up to date on ethical considerations and responsible AI deployment.
• Monitor model performance in production and fix issues of scalability and reliability.
• Document processes, methodologies and best practices.

Required profile

• Master's degree in computer science, engineering or a related field.
• Technical background with academic experience building creative AI solutions.
• Fluent professional English and French.
• Excellent communication skills, able to explain complex technical concepts to technical and non-technical stakeholders.

Required skills

• Strong programming skills, with proven experience in at least one major GenAI framework such as LangChain or LlamaIndex.
• NLP and NLU experience, and experience with vector embeddings and semantic search.
• Advanced prompting (Chain, Tree and Graph of Thought, ReAct, Guardrails, etc.).
• Knowledge of proprietary and open-source ecosystems (OpenAI, AWS, Hugging Face, Anthropic, Mistral.ai, Qwen, etc.).