What you bring

• 14+ years of experience is software development covering entire SDLC using cloud native technologies in an Agile setup.
• Bachelor’s degree in computer science, Artificial Intelligence, or a related field. A Master’s degree is a plus.
• Proven hands-on experience (1+ years) in AI development, with a focus on Generative AI technologies.
• Strong practical understanding of SAP Business Technology Platform (BTP) or any other cloud platform for development and integration.
• Proficiency in one of the programming languages such as Python/TypeScript/Nodejs and ML/AI frameworks such as TensorFlow, PyTorch.
• Experience in prompt engineering and designing effective AI model inputs is a must.
• Familiarity with Agentic AI and its applications.
• Working experience with AI co-pilots and tools
• Experience with ABAP and SAP S/4HANA is a plus
• Familiarity with Agile methodologies and version control systems (e.g., Git).
• Excellent problem-solving skills and attention to detail.
• Strong communication and interpersonal skills.
• Ability to quickly learn and adapt to new technologies and tools.
• Ability to work independently and in a team environment.

What you’ll do

• Design and develop Generative AI based solutions to address business problems
• Collaborate with cross-functional teams to integrate AI solutions into existing and new SAP applications.
• Develop and maintain SAP applications, ensuring efficient and seamless integration with AI components.
• Conduct research and stay updated with the latest advancements in Generative AI and SAP technologies.
• Troubleshoot and resolve technical issues related to AI components and SAP systems.
• Write clean, efficient prompts that adheres to best practices.
• Use prompt engineering techniques to optimize AI model performance and accuracy.
• Provide technical guidance and mentor junior team members in AI and SAP development.
• Participate in the testing and debugging of AI responses.
• Document design decisions, development processes, and system configurations using AI tools.
• Work closely with Engineering lead to ensure delivery milestones and deadlines are met.
• Contribute to the continuous improvement of development processes and practices.