Senior Software Engineer - Agentic MES Software Development

At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where ,Health for all, Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.

Senior Software Engineer - Agentic MES Software Development 

Senior Software Engineer – Agentic MES Software Development

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.

Key Responsibilities

Agentic Software Development & AI Enablement

• Drive adoption of Agentic Software Development and AI-assisted engineering practices.


• Leverage AI-powered tools to improve software development, testing, documentation, troubleshooting, and knowledge management.


• Identify opportunities where AI copilots, intelligent agents, and automation can increase engineering productivity and software quality.


• Collaborate with engineering, architecture, data, and product teams to integrate AI-enabled capabilities into software delivery processes.


• Evaluate emerging technologies and recommend practical applications that deliver measurable business value.


• Ensure AI-enabled solutions are implemented with appropriate governance, security, compliance, and human oversight.

MES Solution Development

• Design, develop, test, and maintain MES solutions based on Siemens OpCenter.


• Lead implementation of MES features, enhancements, and technical work packages.


• Support global MES template development and manufacturing site deployments.


• Ensure MES solutions are scalable, maintainable, compliant, and aligned with enterprise architecture standards.

Systems Design & Integration

• Design MES workflows, services, integrations, and interfaces supporting manufacturing processes.


• Develop and maintain integrations between MES, SAP, LIMS, automation systems, and enterprise platforms.


• Build APIs, middleware solutions, and event-driven services.


• Support integration testing, validation, deployment, and release activities.


• Promote reusable integration patterns and standardization across the MES landscape.

Software Engineering & DevOps

• Develop high-quality software using modern engineering standards and best practices.


• Apply CI/CD, automated testing, Git-based development, and DevOps methodologies.


• Support cloud-native and containerized deployment models.


• Apply microservices, API-first, and event-driven architectural patterns.


• Continuously improve software quality, maintainability, and engineering efficiency.

Operations & Reliability

• Support and operate business-critical MES applications and services.


• Troubleshoot incidents, perform root-cause analysis, and implement sustainable solutions.


• Improve application stability, availability, performance, and resilience.


• Contribute to operational excellence and continuous service improvement initiatives.

Collaboration, Coaching & Knowledge Sharing

• Collaborate with product teams, manufacturing stakeholders, and business partners to deliver business value.


• Mentor junior engineers and promote engineering best practices.


• Contribute to technical communities, standards, and capability development initiatives.


• Foster a culture of innovation, continuous learning, and responsible AI adoption.

Key Working Relations

• MES Product Managers & Product Owners


• Manufacturing Operations & Site Leadership


• Enterprise & Solution Architects


• Software Engineering & DevOps Teams


• Data Scientists, Data Engineers & Data Architects


• Automation & OT Engineers


• Quality, Validation & Compliance Teams


• Cybersecurity Teams


• Business Process Owners and Manufacturing Stakeholders

Qualifications & Skills

Required

• 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.

What do We offer:

At Bayer, we are committed to transparency, equal pay for equal work or work of equal value, and objective reward practices in line with EU and local regulations. The minimum monthly gross compensation for this role is 20 240,00 PLN with final pay determined based on objective factors such as experience, qualifications, scope of responsibility, and internal alignment.
 
 This position is eligible for variable pay components, such as performance‑based bonuses, awarded in accordance with the applicable employee group, role scope, and compensation structure.
In addition, Bayer offers a competitive and holistic benefits package, including:
 
- Medical care above statutory requirements 
- Flexible benefits supporting leisure, and well‑being/sports programs 
- Life, accident, and disability insurance through group coverage
- Employer‑supported pension plans with regular company contributions 
- Home office allowance to support hybrid or remote work 
- Extra Paid Holidays 

Location:

Poland : Mazowieckie : Warszawa  

Division:

Man Enablement

Reference Code:

874750