Senior Software Engineer - Agentic MES Software Development

Opis oferty

The Senior Software Engineer – Agentic MES Software Development drives the adoption of AI-powered and agentic software engineering practices within the Manufacturing Execution Systems (MES) domain.

This role combines expertise in Generative AI, Agentic AI, AI-assisted software development, automation, cloud-native engineering, and modern software delivery practices with hands-on experience in MES platforms, particularly Siemens OpCenter. The position is responsible for developing, integrating, and operating scalable MES solutions while leveraging emerging AI technologies to improve engineering productivity, accelerate software delivery, and enhance operational outcomes.

Working within a global product-oriented environment, the Senior Software Engineer collaborates with product teams, architects, manufacturing stakeholders, automation engineers, and data professionals to deliver innovative and future-ready digital manufacturing solutions.

Wymagania

• Bachelor’s degree in Computer Science, Software Engineering, Information Technology, Engineering, or a related field.
• 5+ years of experience in software engineering or related technical roles.
• Strong knowledge of Generative AI, Agentic AI, AI-assisted software development, intelligent automation, and modern software engineering practices.
• Hands-on experience with AI-enabled developer tools, coding assistants, copilots, or agentic workflows.
• Experience identifying and implementing AI-driven productivity improvements within software delivery processes.
• Strong programming skills in Java, Python, C#, JavaScript, or similar technologies.
• Experience with APIs, microservices, cloud-native architectures, CI/CD, DevOps, and software automation.
• Hands-on experience with Manufacturing Execution Systems (MES).
• Experience working with Siemens OpCenter or comparable MES platforms.
• Experience integrating MES with SAP, LIMS, automation systems, or enterprise platforms.
• Familiarity with cloud platforms such as Azure, AWS, or Google Cloud.
• Understanding of GxP, validation, data integrity, and security requirements in regulated environments.
• Strong analytical, communication, collaboration, and problem-solving skills.