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Working at SAP

  • Company employees
    107,000

Hiring in

  • Global

Office locations

Join SAP as an Application Engineer (AI & Backend) in Brno, Czechia, where you will design and build production-grade AI-enabled applications and enterprise finance solutions. This role combines backend development with cutting-edge AI and LLM workflows in a collaborative global environment offering flexible working models.

Requirements

  • Proficient coding and debugging skills with experience building and operating applications.
  • Solid understanding of APIs, software development practices, and AI/LLM workflows (prompt design, basic RAG patterns).
  • Familiarity with distributed systems, CI/CD practices, cloud-based microservices, ABAP, ERP, or enterprise application development is a plus.
  • Readiness to learn ABAP and complex business logic in the finance domain.
  • No specific degree or minimum years of experience explicitly mandated in the posting.

Skills & Responsibilities

  • AI/LLM Integration: Build and integrate AI capabilities, LLM workflows, and basic RAG patterns including prompt management and response validation.
  • Backend Development: Develop and maintain backend services in ABAP, handling business logic, APIs, and enterprise interfaces.
  • System Evaluation & Monitoring: Build evaluation and benchmarking pipelines to measure AI output quality, application health, latency, and throughput.
  • Troubleshooting & CI/CD: Debug production issues, implement stability fixes, and support CI/CD deployment workflows.
  • Potential transition routes: People from Software Engineer, Backend Developer, or AI/ML Engineer roles may bring relevant programming, API design, and system integration skills, alongside meeting the core technical requirements for this position.

Job description

Company Description

Job Description

What you bring

You have proficient coding and debugging skills and hands-on experience building and operating applications and services. A solid understanding of APIs and software development practices, experience with AI/LLM workflows such as prompt design, basic RAG patterns and integrating AI services into applications is expected. Familiarity with distributed systems, CI/CD practices, cloud-based microservices, ABAP, ERP, or enterprise application development is a plus. You’re ready to learn ABAP and develop a solid understanding of complex business logic and the finance domain. An ownership mindset, combined with experience in testing, validation, and troubleshooting production systems, will set you up to contribute well.

What you’ll build

You'll design, develop, and maintain production-grade AI-enabled applications across the stack, with a focus on scalability and reliability. Your work will include backend development in ABAP, working with business logic, APIs, and interfaces, alongside the development and integration of AI capabilities. LLM integration and basic RAG workflows, including prompt management and response validation, are part of your core work. You'll build and improve evaluation and benchmarking pipelines to measure AI output quality and system performance. Application health, latency, throughput, and system efficiency are areas you'll actively monitor and improve. Debugging and resolving production issues, contributing to incident analysis, and implementing stability fixes are all expected. You'll support and enhance CI/CD pipelines and deployment workflows. Cross-functional collaboration to refine requirements and improve system design is a regular expectation.

Where you belong

You'll own features and modules end-to-end and work closely with product, data, platform, and AI teams to align on goals and deliver quality results. Your work will span both established enterprise backend technologies and evolving AI capabilities, and you'll be expected to develop a solid understanding of the business logic connecting them. This team values direct communication, shared accountability, and continuous improvement. You'll participate in code reviews, share technical knowledge, and help build team capabilities as you develop deeper expertise in backend and AI-enabled application development.

Meet your team

Private Cloud Products (PCP) Finance organization delivers leading finance applications as part of SAP’s enterprise portfolio, including SAP S/4HANA On Premise and the Private Cloud. We are a global development organization that works in close collaboration with customers and partners to support high-quality finance processes and new business models.

Qualifications

Additional Information

About SAP
With a global network of customers, partners, employees, and thought leaders, SAP helps the world run better and improves people’s lives.

Apply now
SAP

Application Engineer (AI & Backend)

Brno

As a leader in enterprise applications and business AI, SAP stands at the nexus of business and technology. For over 50 years, organizations have trusted SAP to bring out their best by uniting business
-
critical operations spanning finance, procurement, HR, supply chain, and customer experience.

We win with inclusion

SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone, regardless of background, feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.

SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or complete your application, please send an email with your request to the Recruiting Operations Team: Careers@sap.com.

For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.

Qualified applicants will receive consideration for employment without regard to age, race, religion, national origin, ethnicity, gender (including pregnancy and childbirth), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.

Successful candidates might be required to undergo a background verification with an external vendor.

AI Usage in the Recruitment Process

For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.

Please note that any violation of these guidelines may result in disqualification from the hiring process.

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