Generative AI Engineer

Description

Job Summary: We are seeking an engineer to design, develop, and implement solutions based on foundational models, fine-tune LLMs, implement RAG, and design agentic AI systems. Key Highlights: 1. Design and development of solutions using foundational models 2. Implementation of RAG architectures and agentic AI systems 3. Use of PyTorch, TensorFlow, Hugging Face, and LangChain An engineer is needed to participate in the design, development, and deployment of foundational model-based solutions across various sectors. Responsibilities include fine-tuning large language models (LLMs), implementing retrieval-augmented generation (RAG) architectures, and increasingly designing agentic AI systems that autonomously plan and execute tasks. Tools such as PyTorch or TensorFlow will be employed, along with the generative AI ecosystem: libraries like Hugging Face Transformers and agent frameworks such as LangChain, LangGraph, Agents SDK, or AutoGen. A strong technical background and advanced Python proficiency are required. Experience may stem from internships, academic projects, or R\+D collaborations; a proactive attitude and teamwork capability are highly valued. This is a temporary full-time position with an annual salary between 22000 and 25000 euros.