Senior Software Engineer - Agentic MES Software Development

Bayer CropScience Limited; Warszawa; On-site; PLN 80,000 - 120,000; Full time

Benefits offered by this job

Medical care above statutory requirements

Flexible benefits supporting leisure, well-being, and sports programmes

Life, accident, and disability insurance

Employer-supported pension plans

Home office allowance

Extra paid holidays

Job summary

Bayer CropScience Limited is seeking a Senior Software Engineer to drive adoption of AI-powered software development practices within Manufacturing Execution Systems. The successful candidate will design and maintain scalable MES solutions leveraging AI technologies, collaborating across teams to enhance productivity.

The position requires strong experience in software engineering with a focus on Generative AI and familiarity with Siemens OpCenter or comparable platforms. The role offers a hybrid work model and extensive employee benefits.

Qualifications

• 5+ years of experience in software engineering or related technical roles.
• Hands-on experience with Manufacturing Execution Systems (MES).
• Strong analytical, communication, collaboration and problem-solving skills.

Responsibilities

• Drive adoption of Agentic Software Development and AI‑assisted engineering practices.
• Design, develop, test and maintain MES solutions based on Siemens OpCenter.
• Develop high-quality software using modern engineering standards and best practices.

Skills

Generative AI

Agentic AI

AI-assisted software development

Java

Python

C#

JavaScript

APIs

Microservices

CI/CD

DevOps

Software automation

Siemens OpCenter

Education

Bachelor’s degree in Computer Science, Software Engineering, Information Technology, Engineering or a related field

Tools

Cloud platforms (Azure, AWS, Google Cloud)

AI-enabled developer tools

Job description

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, combining 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 role 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.

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 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 containerised 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

• 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 We Offer

• Medical care above statutory requirements.
• Flexible benefits supporting leisure, well‑being and sports programmes.
• 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.
• Hybrid work model – employees can work from home, the office or combine both environments, discussed with the manager.
• Variable pay components such as performance‑based bonuses awarded in accordance with the applicable employee group, role scope and compensation structure.

Location: Poland – Mazowieckie – Warszawa

Bayer welcomes applications from all individuals, regardless of race, national origin, gender, age, physical characteristics, social origin, disability, union membership, religion, family status, pregnancy, sexual orientation, gender identity, gender expression or any unlawful criterion under applicable law. We are committed to treating all applicants fairly and avoiding discrimination.