Agentic AI - Student Position-Research Lab

IBM โ€ข Multiple Cities

Company

IBM

Location

Multiple Cities

Type

Full Time

Job Description

Introduction
At IBM a job is more than work. We build collaborate and design the future. We learn and envision how our clients can leverage cutting edge technologies. Are you ready to grow and lead in this new era of technology and tackle some of the worldโ€™s most challenging problems? If so letโ€™s talk.
Your role and responsibilities

The IBM Research Lab in Israel is looking for exceptional students to join our innovative team and contribute to cutting-edge research. You will help advance state-of-the-art technologies focused on LLM-based agentic workflows including the development of code-based (CodeAct) agents to deliver high-quality high-performance solutions.

In this position you will:

  • Develop code (primarily in Python) for agentic AI and CodeAct agents.
  • Conduct benchmarking and evaluation of AI workflows.
  • Gain hands-on experience with leading agentic AI platforms and tools.
  • Collaborate in a global team and apply best practices for effective teamwork.

This role offers a unique opportunity to deepen your knowledge and practical skills in generative AI and data platforms. We expect approximately 20 hours/week during the academic year with a preference for full-time availability during school breaks.

Weโ€™re looking for fast learners with strong programming skills. Experience with LLMs and generative AI is a plus.

Please attach your academic transcript to be considered.

Required education
High School Diploma/GED
Preferred education
Bachelor's Degree
Required technical and professional expertise
  • MSc student or BSc student (starting 5th semesters) in Computer Science or equivalent.

  • Hands-on coding experience with strong Python programming skills.

  • Excellent problem-solving abilities.

  • Team player with high motivation and strong self-learning capability.

  • Good command of English.

  • Legal authorization to work in Israel

    Please add your grade sheet to your application.




Preferred technical and professional experience
  • PhD students
  • Experience with LLMs agentic frameworks and benchmarking.
Apply Now

Date Posted

12/17/2025

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