Applied AI Engineer (Generative AI)

TL;DR

Applied AI Engineer (Generative AI): Implementing cutting-edge algorithms and business-centric GenAI solutions across various industries with an accent on semantic search, RAG, and autonomous agents. Focus on designing robust AI workflows, optimizing model performance, and integrating advanced foundational models into scalable products.

Location: Paris, France

Company

A global management consulting group merging data science and Generative AI to drive industry transformation.

What you will do

• Design and develop bespoke GenAI applications using both self-managed and API-accessible models.
• Implement RAG techniques to optimize model output accuracy and provide source attribution.
• Create and refine advanced prompts to enhance analytical capabilities and user experience.
• Research and integrate latest AI frameworks, chaining, and vector search tools.
• Ensure AI systems comply with regulations like GDPR and the EU AI Act.
• Monitor production performance and resolve scalability and reliability issues.

Requirements

• Master's degree in Computer Science, Engineering, or a related field.
• Proficiency in Python and experience with GenAI frameworks such as LangChain or LlamaIndex.
• Expertise in NLP, NLU, vector embeddings, and semantic search.
• Knowledge of proprietary and open-source model ecosystems (OpenAI, Anthropic, Mistral, etc.).
• Must speak French and professional English fluently.
• Must be based in Paris, France.

Culture & Benefits

• Comprehensive training through internal programs and technology partners.
• Collaborative environment within a global AI & Data Business Unit.
• Opportunity to work on high-impact projects across multiple sectors.
• Focus on professional growth and shaping the future of AI-driven consulting.