About the role
AI summarisedSenior research engineer role focused on designing and deploying AI-enabled backend services and data pipelines for manufacturing planning, scheduling, and inventory optimization. Involves building microservices, APIs, and cloud-native systems to integrate AI agents with enterprise manufacturing platforms.
ResearchOnsite
Key Responsibilities
- Lead the development and integration of applications for production planning, scheduling, and inventory optimization
- Design backend services and APIs to support planning and analytics workflows
- Orchestrate multiple AI-driven agents for collaborative task execution in manufacturing systems
- Connect AI applications with external manufacturing platforms and enterprise tools
- Collaborate with AI/ML engineers to deploy models into production
- Build scalable backend systems using Docker, Kubernetes, and cloud platforms
- Support CI/CD pipelines and maintain production/staging environments
- Contribute to evolving AI-based decision support platforms for manufacturing operations
Requirements
- Bachelor's degree in AI, Computer Engineering, Software Engineering, or related field
- Minimum of 5 years of experience in software development, focusing on enterprise systems
- Experience with microservices (C# .NET, Python) and using Angular
- Familiarity with AI-driven planning, scheduling, or inventory analytics
- Knowledge of agent-based systems or multi-agent coordination
- Proficiency with Docker, Kubernetes, and cloud environments
- Hands-on experience with CI/CD tools (Jenkins, GitHub, etc.)
- Exposure to AI/ML model integration in production
- Excellent problem-solving, troubleshooting, and analytical skills, with a high level of attention to detail
- Strong verbal and written communication skills
- Positive, proactive attitude, with the ability to collaborate effectively across multiple stakeholders