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 Responsibilities
- Build 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
