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Agentic AI Research Engineer

insol-high • Japan
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Research and develop advanced agentic AI architectures for embodied intelligence and multi-robot orchestration. Design hierarchical planning systems and integrate LLMs, VLMs, and world models into robotic workflows. Requires a degree in CS or Robotics, strong Python skills, and experience with PyTorch and AI agents.

Key Highlights
Focus on humanoid robots autonomously planning and executing tasks in industrial environments
Integration of high-level reasoning with multimodal perception and learned robotic capabilities
Research-driven role involving both simulated and real-world robotic environments
Key Responsibilities
Research and develop agentic AI architectures for embodied intelligence and multi-robot orchestration
Design hierarchical planning systems that translate high-level objectives into executable robotic tasks and actions
Integrate LLMs, VLMs, world models, and learned robot policies into agentic workflows
Research multi-agent coordination, dynamic task allocation, and autonomous replanning
Develop memory, world-state representations, and feedback-driven reasoning mechanisms
Design and evaluate agentic systems in simulated and real-world robotic environments
Contribute to experimental design, internal research documentation, and technical reports
Technical Skills Required
Python PyTorch Machine Learning
Benefits & Perks
Visa sponsorship
Long-term employment support
Stock option grants
Nice to Have
Experience with LLM-based agents, tool use, and agent orchestration frameworks
Knowledge of hierarchical task planning, reinforcement learning, or world models
Familiarity with robotics, VLA models, or embodied intelligence
Experience with multi-agent coordination or autonomous decision-making systems
Research experience demonstrated through projects, publications, or open-source contributions
Japanese language skills

Job Description

NSOL-HIGH is seeking an Agentic AI Research Engineer to contribute to advanced research and development in agentic artificial intelligence, multi-agent systems, and embodied intelligence.

This role focuses on the design and implementation of intelligent agentic architectures that enable humanoid robots to autonomously plan, coordinate, and execute complex tasks in industrial environments. The position is research-driven, with an emphasis on connecting high-level reasoning, multimodal perception, and learned robotic capabilities through scalable agentic systems.

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