R&D Internship — Agentic AI
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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