Jobfoundry
Jobfoundry
A*STAR

Research Engineer (Senior/Lead), DMD/SVS, ARTC

A*STAR
ResearchSingaporeOnsitePosted 4 weeks ago
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About the role

AI summarised

We are seeking a Senior Research Engineer to design and implement AI-enabled solutions that enhance manufacturing planning, scheduling, and inventory analytics. This role involves building robust backend services, data pipelines, and APIs to bridge AI systems with manufacturing platforms for smarter, data-driven operational decision-making.

ResearchOnsite

Key Responsibilities

  • Lead the development and integration of applications for production planning, scheduling, and inventory optimization.
  • Design backend services and APIs to support complex planning and analytics workflows.
  • Orchestrate multiple AI-driven agents for collaborative task execution within manufacturing systems.
  • Connect AI applications with external manufacturing platforms and enterprise tools.
  • Collaborate closely with AI/ML engineers to successfully deploy models into production environments.
  • Build scalable backend systems utilizing Docker, Kubernetes, and cloud platforms.
  • Support CI/CD pipelines and maintain production and staging environments.
  • Contribute to the evolution of AI-based decision support platforms for manufacturing operations.

Requirements

  • Bachelor's degree in AI, Computer Engineering, Software Engineering, or a related field.
  • Minimum of 5 years of experience in software development, specifically with enterprise systems.
  • Proficiency with microservices architecture using C# .NET or Python, and experience with Angular.
  • Familiarity with AI-driven planning, scheduling, or inventory analytics is required.
  • Knowledge of agent-based systems or multi-agent coordination concepts.
  • Proficiency with containerization and orchestration technologies including Docker, Kubernetes, and cloud environments.
  • Hands-on experience with CI/CD tools such as Jenkins or GitHub.
  • Exposure to integrating AI/ML models into production workflows.
  • Excellent problem-solving, troubleshooting, and analytical skills with high attention to detail.
  • Strong verbal and written communication abilities.
  • Positive, proactive attitude with proven ability to collaborate across diverse stakeholders.