Paris Onsite Research Engineer: Agentic AI & LLM Systems

European Tech Recruit; Paris; Sur place; EUR 85 000 - 120 000; Plein temps

Résumé du poste

European Tech Recruit in Paris is seeking a Research Engineer to design, build, and evaluate agentic AI systems powered by large language models. You will work onsite at a leading research centre to push the boundaries of agentic AI research and engineering.

This permanent role requires strong Python skills, deep learning experience with PyTorch, and a track record in designing meaningful experiments for evaluating agent systems.

Qualifications

• PhD in Computer Science, AI, Machine Learning, or related field.
• Strong Python programming and software engineering skills.
• Practical knowledge of large language models, transformers, and modern generative AI systems.
• Experience with PyTorch or equivalent deep-learning framework.
• Ability to design meaningful experiments and evaluate systems objectively.
• Experience building tool-using, coding, or computer-use agents and multi-step LLM systems.

Responsabilités

• Design and implement AI agents based on large language models and multimodal foundation models.
• Build systems involving tool use, planning, memory, retrieval, code execution, and multi-step workflows.
• Develop rigorous evaluation environments, benchmarks, and failure-analysis tools for agent capabilities.
• Rapidly prototype new research ideas and turn promising approaches into robust, reusable implementations.
• Run controlled experiments and make evidence-based technical decisions to improve agent reliability, efficiency, and latency.
• Build clean research infrastructure, APIs, and internal demonstrations.

Connaissances

Python

Software engineering

LLMs

Transformers

PyTorch

Reinforcement Learning

Multimodal AI

Agent systems

LLM Systems

Formation

PhD in CS/AI/ML

Outils

PyTorch

Description du poste

European Tech Recruit in Paris is seeking a Research Engineer to design, build, and evaluate agentic AI systems powered by large language models. You will work onsite at a leading research centre to push the boundaries of agentic AI research and engineering.

This permanent role requires strong Python skills, deep learning experience with PyTorch, and a track record in designing meaningful experiments for evaluating agent systems.