Agentic AI R&D Internship - Fast-Track to Full-Time

Botresources; Paris; On-site; EUR 16,740 - 27,900; Full time

Benefits offered by this job

Direct path to full-time employment (CDI)

Work on real research problems

Direct mentorship from R&D Director

Mac + equipment provided

Healthy startup atmosphere

Job summary

Botresources is offering a 6-month internship in R&D for candidates ready for full-time employment shortly after. You will work closely with the R&D Director on applied research problems, focusing on agentic systems. This role includes designing benchmarks, testing architectures, and understanding explainability.

Ideal candidates will have a Master's level background in mathematics, computer science, or engineering and a strong desire to learn. Benefits include mentorship from the R&D Director and the potential for full-time employment.

Qualifications

• Master's level (final year) in mathematics, computer science, or engineering school.
• Understanding of generative AI fundamentals and LLMs (attention, transformers, context).
• Strong desire to learn and grow.
• Ability to receive feedback and question your own assumptions.
• Scientific rigor in experimentation and documentation.

Responsibilities

• Design and execute benchmarks to evaluate agentic system performance.
• Test and compare new agentic architectures.
• Work on explainability: understand and document how agents make decisions.
• Contribute to R&D phases on client engagements.

Skills

Generative AI fundamentals

Mathematics

Computer Science

Scientific rigor

Education

Master's level in mathematics, computer science, or engineering

Tools

Git

Job description

Botresources is offering a 6-month internship in R&D for candidates ready for full-time employment shortly after. You will work closely with the R&D Director on applied research problems, focusing on agentic systems. This role includes designing benchmarks, testing architectures, and understanding explainability.

Ideal candidates will have a Master's level background in mathematics, computer science, or engineering and a strong desire to learn. Benefits include mentorship from the R&D Director and the potential for full-time employment.