Job Title:
AGI Engineer / Model Orchestrator
Location:
Remote or based in Japan (with occasional overseas travel)
Target Regions:
EU, India, USA, Southeast Asia, Middle East
Industry:
Scientific Data / Analytical Equipment
About MetaSensing
MetaSensing is a deep-tech startup shaping the next generation of AI-driven materials science, sensing, and autonomous manufacturing.
We develop intelligent platforms such as MetaSpectraBot, MetaOSOne, and MetaDesign — combining LLM, Vision, and Robotics to create autonomous scientific discovery systems.
Our vision:
"From Data Analysis to Autonomous Discovery."
We are not building AI.
We are building the next scientist.
Position Overview — AGI Engineer / Model Orchestrator
You will design and orchestrate the interaction between LLMs, Vision Models, and Robotics Systems — enabling AGI to control, reason, and act within real-world laboratory and factory environments.
Your work will connect language, perception, and action, giving AGI the ability to execute experiments, interpret sensor data, and drive innovation in materials, pharma, and chemistry.
Key ResponsibilitiesBuild pipelines connecting LLMs (GPT, Qwen, Claude, etc.) with Vision and Control APIs
Develop orchestration layers (MCP / MetaAgentOS) for multi-agent collaboration
Integrate robotic arms, spectrometers, cameras, sensors, and PLCs under AGI control
Optimize inference & context-sharing between multimodal agents
Research and prototype new AGI interaction models for real-world automation
Preferred Skills & Experience
Strong understanding of LLM orchestration / multi-agent frameworks
Experience with Python, LangChain, ROS2, or PLC integration
Knowledge in computer vision, robotics, or control systems
Ability to design and deploy modular AI pipelines (e.g., MCP / n8n / custom orchestrators)
Curiosity for scientific discovery and autonomous systems
Why Join Us?
Work directly on AGI × Robotics × Science — the frontier of intelligence engineering
Collaborate with world-class researchers, engineers, and innovators in Japan and abroad
Shape the foundation of autonomous science and manufacturing
Leadership opportunities in a fast-scaling deep-tech startup
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