Intern (m/f/d) Agentic Robot Framework

About the role

The AI Research Division of Agile Robots is looking for an Intern (m/f/d) Agentic Robot Framework, who will contribute to the design and development of an agentic planning system for robotic manipulation, using LLMs and VLMs to enable robots to reason and act over extended task sequences.

Your Responsibilities

• Framework Design: Contribute to the architecture of an agentic planning framework for long-horizon manipulation tasks, spanning both simulated and real robot platforms.
• Multi-Agent Planning: Explore and implement multi-agent collaboration strategies that use VLMs and LLMs for robot task planning and sequencing.
• Task Representation: Investigate structured task representations and their application to complex, multi-step manipulation scenarios.
• Monitoring & Recovery: Design closed-loop monitoring and autonomous recovery mechanisms to maintain system behavior over extended task horizons.
• Research Output: Conduct experiments on simulated and real robot platforms and contribute to academic publications as a co-author.

Essential Skills

• Academic Background: Currently pursuing a PhD or Master's degree in Robotics, AI, Machine Learning, or a related field.
• LLM/VLM Engineering: Hands-on experience building or deploying agentic systems that use LLMs or VLMs for planning, reasoning, or task execution.
• Programming: Proficiency in Python for AI and robotics system development; TypeScript experience is useful for framework-level tooling.
• Task Planning: Background in task planning or robot control, with a working understanding of how planning logic connects to physical execution.
• Research Writing: Ability to write clearly in English for research contexts, including structuring experiments and contributing to academic publications.

Beneficial Skills

• Robotics Tools: Experience with ROS or ROS2 and robot simulation environments.
• Robot Learning: Familiarity with robot learning methods such as imitation learning or sequence modeling.
• Publication Experience: Prior experience contributing to or co-authoring academic research publications.

What we offer

• Practical learning opportunities to complement your studies.
• Dynamic high-tech company combined with financial soundness and world class investors.
• Join an interdisciplinary, international team with 60+ different nationalities in a collaborative work environment.
• Corporate Benefits Program that covers health, mobility and learning with 100 € net per month.
• Modern office facilities with a rooftop terrace overlooking Munich, free drinks & fruits, and regular company events contribute to a good working environment.