Description
Join our Roland Berger AI Lab and help bridge the gap between AI innovation and production-ready software.
As a Software Engineer in Product Engineering & Maintenance, you will bring AI and GenAI solutions into real-world use and contribute to their reliability, scalability, and continuous evolution throughout the product lifecycle.
Responsibilities:
- Turn validated AI and GenAI prototypes into secure, reliable, production-ready software applications
- Develop, test, and maintain backend services, APIs, and application components
- Deploy and operate applications in Microsoft Azure, leveraging existing cloud infrastructure and DevOps standards
- Implement software engineering best practices, including automated testing, code quality, security, and documentation
- Monitor deployed applications, troubleshoot issues, fix bugs, and manage software updates and releases
- Ensure application reliability, performance, and maintainability throughout the product lifecycle
- Collaborate with AI engineers, product teams, and DevOps specialists to bring innovative AI solutions into production
Qualifications:
- Degree in Computer Science, Engineering, or a related field, or equivalent experience
- 3+ years of professional experience in software development, ideally including experience maintaining production applications
- Strong programming skills in Python and experience developing backend services and REST APIs
- Experience with Microsoft Azure or another major cloud platform (AWS or GCP)
- Familiarity with CI/CD pipelines, Git, Docker, and modern software development practices
- Good understanding of application security, authentication, automated testing, and monitoring
- Experience working with databases, cloud services, and application integrations
- Familiarity with AI/ML, LLM applications, or GenAI solutions is a plus
- Practical problem-solving skills and the ability to work independently within a collaborative engineering team
- Excellent communication skills in English
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