Artificial Intelligence Engineer

Preferred Background: Physical AI, Agentic AI, Embodied AI, Robotics, Autonomous Systems, Geospatial AI, or Applied Industrial AI

Gulo Gulo, a business unit under Micro Engineering Tech Inc. (METI), is building next-generation AI systems for the physical world , idging intelligent reasoning, sensing, mapping, localization, and real-world decision-making.

We are looking for an AI Engineer to design, build, and deploy production-grade AI solutions that operate across digital and physical environments. This role is ideal for someone with strong hands‑on engineering and development skills who is excited about moving AI beyond isolated models into integrated systems that can perceive, reason, act, and generate measurable value.

The ideal candidate brings practical experience in AI/ML engineering and a strong interest in Agentic AI and Physical AI
, including intelligent workflows, multimodal data systems, autonomous reasoning loops, tool use, sensor‑driven AI, and real‑world deployment.

This is a highly collaborative role where you will work with product leaders, software engineers, geomatics specialists, AI researchers, and technical stakeholders to move solutions from concept to prototype to production.

• Design, build, test, and optimize AI and machine learning solutions for commercial and industrial applications.
• Develop production‑ready AI components, services, and pipelines using Python and modern ML frameworks.
• Contribute to the development of agentic AI systems, including reasoning workflows, orchestration logic, tool integration, retrieval pipelines, and decision‑support agents.
• Support AI capabilities for perception, mapping, detection, classification, anomaly detection, localization, prediction, and intelligent automation.
• Work with multimodal and real‑world datasets such as imagery, LiDAR, GNSS/INS, sensor streams, operational data, and spatial data.
• Help architect AI workflows that connect models with external tools, data sources, APIs, and real‑world actions.
• Collaborate across teams to integrate AI into scalable products, edge systems, cloud platforms, and client‑facing solutions.
• Prepare and improve datasets, feature pipelines, labeling workflows, evaluation benchmarks, and performance metrics.
• Deploy, monitor, troubleshoot, and refine AI models and intelligent workflows in production or near‑production environments.
• Contribute to R&D in Agentic AI, Physical AI, Embodied AI, autonomy, and industrial intelligence.
• Ensure solutions are robust, secure, scalable, and aligned with product and client requirements.
• Document technical designs, experiments, engineering decisions, and implementation practices to support knowledge sharing and repeatability.

• AI solutions move efficiently from prototype to deployable product capability.
• Agentic workflows and AI components are reliable, measurable, and commercially viable.
• Models and intelligent systems demonstrate strong performance in real‑world environments.
• AI systems are built with scalability, maintainability, and integration readiness in mind.
• Collaboration between engineering, product, and domain teams results in faster delivery and stronger business outcomes.
• Contributions support Gulo Gulo’s roadmap in mapping, localization, autonomy, sensor intelligence, and next‑generation physical AI applications.

• Master’s or Phd’s degree in Computer Science, Software Engineering, Artificial Intelligence, Robotics, Geomatics Engineering, Electrical Engineering, Data Science, or a related field.
• 3+ years of professional experience in AI/ML engineering, applied AI development, or software engineering with AI systems.
• Strong programming skills in Python
  .
• Experience with AI/ML frameworks such as PyTorch, Data Brikcs, AWS, scikit‑learn
  , or equivalent.
• Experience developing, testing, and evaluating machine learning or deep learning solutions in real‑world projects.
• Good understanding of software engineering fundamentals, APIs, version control, system integration, and production workflows.
• Experience working with structured and unstructured data.
• Strong problem‑solving ability and comfort working in multidisciplinary…