R&D Internship — Agentic AI

Il y a 1 mois

Paris, Nouvelle-Aquitaine, France Botresources Temps plein

Bot Resources designs agentic systems based on generative AI. Our approach combines research, engineering, and consulting to build "digital exoskeletons" — solutions that augment teams on repetitive tasks while leaving reasoning, creativity, and accountability to humans. We are practitioners first and foremost, working in demanding environments. A team that moves fast, learns continuously, and applies what it recommends.

About the Role

This internship is a talent pipeline: we're looking for someone to train intensively for 6 months, with the goal of hiring them immediately after. Only candidates available for full-time employment within 2 months after the internship ends should apply. As an R&D intern in Agentic AI, you'll work directly with our R&D Director on applied research problems. Your mission: help us understand what makes agentic systems work (or fail), build evaluation frameworks, and push the boundaries of explainability and reliability. Bot Resources is a small company — the line between R&D and client delivery is intentionally blurry. You'll contribute to both, gaining exposure to real business problems where explainability matters most.

Your Missions

R&D

  • Design and execute benchmarks to evaluate agentic system performance
  • Test and compare new agentic architectures (multi-agent, tool-use patterns, planning strategies)
  • Work on explainability: understand and document how our agents make decisions
  • Develop methods to detect and reduce hallucinations in production systems
  • Conduct technical watch and write internal research notes

Client projects (support role)

  • Understand business problems where explainability is critical
  • Contribute to R&D phases on client engagements
  • Occasionally support as a Flow Engineer (designing agentic workflows)

Required Skills

Technical

  • Master's level (final year) in mathematics, computer science, or engineering school
  • Understanding of generative AI fundamentals and LLMs (attention, transformers, context)

Mindset

  • Strong desire to learn and grow
  • Ability to receive feedback and question your own assumptions
  • Scientific rigor in experimentation and documentation

Nice to Have

  • Experience with agentic orchestration frameworks (LangGraph etc.)
  • Familiarity with Git and collaborative development workflows
  • Experience with evaluation frameworks or benchmarking

What We Offer

  • 6-month internship with compensation according to profile
  • Direct path to full-time employment (CDI)
  • Work on real research problems from day one
  • Direct mentorship from the R&D Director
  • Mac + equipment providedHealthy startup atmosphere: autonomy, direct feedback, zero bullshit, lots of fun, a human-sized company
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