**Avant de postuler à un emploi, sélectionnez votre langue de préférence parmi les options disponibles en haut à droite de cette page.** Découvrez votre prochaine opportunité au sein d'une organisation qui compte parmi les 500 plus importantes entreprises mondiales. Envisagez des opportunités innovantes, découvrez notre culture enrichissante et travaillez avec des équipes talentueuses qui vous poussent à vous développer chaque jour. Nous savons ce qu’il faut faire pour diriger UPS vers l'avenir : des personnes passionnées dotées d’une combinaison unique de compétences. Si vous avez les qualités, de la motivation, de l'autonomie ou le leadership pour diriger des équipes, il existe des postes adaptés à vos aspirations et à vos compétences d'aujourd'hui et de demain. **Fiche de poste :** **Job Summary** We are seeking a highly skilled AI Engineer experience in Software Development, Data Science, or Machine Learning to design, develop, and deploy cutting-edge AI systems leveraging Large Language Models (LLMs), Chatbots, Retrieval-Augmented Generation (RAG), and agentic AI architectures. This role involves hands-on development with LLMs, embeddings, RAG pipelines, and multi-agent systems using modern frameworks like LangChain, LangGraph, and LlamaIndex. The ideal candidate has experience with Vertex AI on GCP and IBM WatsonX, fine-tuning, and Agent Development Kits (ADKs), and is excited about building scalable, production-grade AI platforms. **Responsibilities** + **Agentic AI Development:** Design, build, and deploy **agentic AI systems** using frameworks such as LangChain, LangGraph, and related libraries. Develop and deploy **multi-agent systems** capable of autonomous decision-making, reasoning, planning, and collaboration. + **RAG Pipelines:** Implement and optimize **retrieval-augmented generation (RAG)** systems, ensuring agents can access and incorporate external knowledge sources for **grounded, accurate responses** . + **LLM Engineering:** Fine-tune and prompt-engineer LLMs for **task-specific reasoning, planning, and dynamic adaptation** . Work with **LLM/SLM APIs, embeddings, and advanced generative AI techniques** . + **Enterprise AI Platform:** Lead the development of enterprise-grade AI platforms integrating **LLMs, RAG, embeddings, and agentic AI protocols** . Implement and standardize **Model Context Protocol (MCP)** for consistent context management across models and agents. + **MLOps & Observability:** Establish and enforce best practices for **MLOps, monitoring, and observability** , ensuring scalable and maintainable AI solutions. + **Applied AI Prototyping:** Rapidly **prototype, experiment, and iterate** to improve AI agent capabilities. + **Collaboration & Research:** Participate in the **full research cycle** : literature review, data exploration, experimentation, and presentation of findings. Collaborate effectively with other engineers, researchers, and data scientists. Contribute to the **documentation and standardization** of technical code and practices. **Required Education** **Bachelor’s degree** in Computer Science, Engineering, or a related quantitative field. **Master’s or Ph.D.** is a strong plus. **Required Experience** + **5+ years overall experience** in software development, data science, or machine learning. + **1+ year of hands-on experience** developing AI applications with LLMs and systems such as **retrieval-based methods, fine-tuning, or agent-based architectures** . + **1+ year of experience** with frameworks like **LangChain, LlamaIndex, OpenAI, or similar tools** . **Required Technical Skills** + Strong programming skills in **Python** and basics in **SQL** . + Expertise with **LLM/SLM APIs, embeddings, and RAG systems** . + Experience deploying on **Google Cloud Platform (GCP)** with **Vertex AI,** and **IBM WatsonX** . + Familiarity with **agentic AI protocols** and exposure to **Agent Development Kits (ADKs)** . **Preferred Qualifications** + Experience implementing **Model Context Protocol (MCP)** for agent coordination. + Prior exposure to **LangGraph, AutoGen, or related orchestration frameworks** . + Knowledge of **MLOps best practices** (CI/CD for ML, observability, monitoring, scaling). + Familiarity with **responsible AI** principles (safety, fairness, interpretability). + Experience in **enterprise-scale deployments** of AI-driven platforms. + Contributions to **open-source AI/ML projects** are a plus. **Type de contrat:** en CDI _Chez UPS, égalité des chances, traitement équitable et environnement de travail inclusif sont des valeurs clefs auxquelles nous sommes attachés._