About the Role

The Advanced Remanufacturing and Technology Centre (ARTC) is seeking two (2) Agentic AI Systems Engineers (Senior/System Engineer) to design, build, and deploy the software systems that power our agentic AI platform for manufacturing. This role owns the engineering backbone; APIs, services, data pipelines, and platform components that turns agentic AI solutions from prototype into production on the shop floor. If you enjoy building clean APIs, shipping reliable services, and making complex agentic systems usable in manufacturing environments, this role is for you.

Key Responsibilities

• Design, build, and maintain backend services and APIs that power agentic AI applications across the manufacturing platform.
• Develop and operate the data and integration layer; taxonomies, metadata, and structured stores that agentic AI applications depend on for manufacturing use cases.
• Collaborate with manufacturing domain experts to translate manufacturing processes and terminology into software interfaces and data models usable by manufacturing systems.
• Integrate platform services into agentic AI workflows, chatbot interfaces, and decision-support tools deployed on the shop floor.
• Contribute to the end-to-end development and deployment of agentic AI applications for real-world manufacturing use cases (e.g., maintenance, quality management, and production planning).
• Document APIs, services, and system architecture for internal teams and industry partners.
• Monitor service performance and continuously improve the reliability, scalability, and observability of deployed agentic AI applications.

Required Skills

• Solid backend development experience (Python, FastAPI, REST APIs).
• Experience designing and operating production services - versioning, testing, CI/CD, and deployment.
• Comfortable working with structured and unstructured data stores (SQL, NoSQL, graph, or document databases).
• Enthusiasm for building and deploying agentic AI applications that power real-world manufacturing solutions.
• Familiarity with containerization, orchestration, or cloud deployment (Docker, Kubernetes, Azure/AWS/GCP) is an advantage.
• Exposure to manufacturing or industrial environments is a plus.

Qualifications

• BEng / MEng / MSc in Computer Science, Data Engineering, AI, or related field.
• 2-5 years of relevant engineering or data engineering experience.