### **Job Description and Responsibilities** As part of an ambitious digital transformation program, we are seeking an **AI Engineer (F/M)** to design, develop, and industrialize AI solutions supporting various business domains. You will work on concrete use cases integrating advanced AI components: **LLMs, RAG, autonomous agents, NLP, computer vision, fine\-tuning, retraining pipelines, inference services, and deployment in containerized environments** . The objective is to build **robust, scalable, secure, and production-ready solutions**, in collaboration with Data, AI, IT, DevOps/MLOps, and business teams. ***Your responsibilities:*** Within a demanding technical environment, your main responsibilities will include: * Designing and developing AI solutions incorporating **LLMs, RAG architectures, and autonomous agents** . * Implementing model retraining pipelines: **LLMs, NLP, computer vision** . * Adapting pre\-trained models to specific business needs via **fine\-tuning** . * Contributing to data quality, preparation, and governance of training datasets. * Developing interconnected AI modules with third-party applications and existing systems. * Deploying and optimizing high-performance inference services on containerized platforms. * Using components such as **vLLM, KServe, Triton Inference Server, or TGI** . * Designing advanced RAG architectures connected to internal knowledge bases. * Integrating autonomous agent frameworks and orchestration libraries. * Participating in the implementation of interoperability protocols, notably **MCP** . * Collaborating with DevOps/MLOps teams for model deployment, monitoring, and production operations. * Tracking performance metrics, model drift, and GPU resource consumption. * Ensuring scalability, resilience, performance, and security of developed applications. Staying updated on emerging AI, LLM, RAG, and MLOps technologies. * ### **Required Profile** You hold an advanced degree in computer science, data science, artificial intelligence, or equivalent—ideally at the **Master’s level / engineering school** . You have **2 to 5 years** of experience in artificial intelligence, with hands-on experience delivering AI projects in production environments. You possess strong expertise or significant experience with some or all of the following technologies: * **Python** * **LLMs / language models** * **RAG** * **Fine\-tuning** * **NLP / Computer vision** * **PyTorch** or **TensorFlow** * **Transformers** * **Docker** * **Kubernetes** * **vLLM** * **KServe** * **Triton Inference Server** or **TGI** * **MLOps / production model deployment** * Model monitoring, drift detection, performance tracking, and GPU resource utilization * Integration of language model APIs * AI agent frameworks and orchestration libraries * Familiarity with responsible AI, explainability, data protection, and GDPR compliance Experience in complex, sensitive, or highly secured environments will be especially valued. We are looking for someone who is: * Autonomous, rigorous, and well-organized * Curious and innovation-oriented * Capable of collaborating effectively with both technical and business stakeholders * Comfortable explaining complex AI topics to non-technical audiences * Sensitive to responsible AI, security, and data protection challenges * Results-driven, with strong analytical and synthesis skills * Possessing excellent interpersonal skills
Juan García
Indeed · HR
Juan García
Indeed · HR
