Research Engineer: Agentic AI & LLM Systems (Paris Onsite)

European Tech Recruit

Paris

On-site

EUR 90,000 - 130,000

Full time

15 hours ago
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Job summary

European Tech Recruit in Paris is looking for a Research Engineer to design, build, and evaluate advanced AI agent systems powered by large language models, working at the cutting edge of agentic AI research and engineering.

This is a permanent onsite role based in Paris, France, offering collaboration with a leading research centre and opportunities to push the boundaries of AI systems. Strong PhD and PyTorch experience are required.

Qualifications

  • PhD required in CS/AI/ML or closely related field.
  • Strong Python and software engineering skills.
  • Hands-on experience with large language models and modern generative AI systems.
  • Experience with PyTorch or equivalent DL framework.

Responsibilities

  • 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 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.

Skills

Python
Software engineering
LLMs
PyTorch
Experiment design
Agent workflows

Education

PhD in Computer Science / AI / ML

Tools

Transformers

Job description

European Tech Recruit in Paris is looking for a Research Engineer to design, build, and evaluate advanced AI agent systems powered by large language models, working at the cutting edge of agentic AI research and engineering.

This is a permanent onsite role based in Paris, France, offering collaboration with a leading research centre and opportunities to push the boundaries of AI systems. Strong PhD and PyTorch experience are required.

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