We are looking for an experienced cloud developer to support us in the development of digital assistants and agentic flows in the context of Public Cloud. If you want to become part of our motivated team and develop an intelligent application based on cutting-edge technology in a cloud-native architecture, you will find an exciting opportunity to take end-to-end ownership of features from design and development through to quality assurance, deployment, and support:

PRODUCT TECHNOLOGY STACK

• Strong proficiency in VSCode, Python , Java/SpringBoot , Joule, Agents, LLMs, Jupyter notebooks, BTP and ABAP and extensive experience in software engineering.
• Knowledge is any functional domain especially Finance will be an advantage
• Expertise with CI/CD tools.
• Experience in cloud development, with a preference for SAP Business Technology Platform (BTP).
• Experience in prompt engineering with large language models (LLMs).
• Strong understanding of AI and machine learning concepts, with proficiency in YAML for configuration management.

What you'll do

• Create and sustain GenAI digital assistants using LLMs and RAG.
• Work with data scientists, software architects, and engineers to design and implement digital assistant functionalities on Joule
• Work with data scientists, software architects, and engineers to design and implement e2e agentic flows and collaborate also with domain experts from PM and LoBs.
• Focus on scalability, reliability, and performance of applications using LLM and allied technology and framework.
• Implement automated deployment and monitoring processes using CI/CD tools, preferably Jenkins.
• Enhance workflows to improve efficiency and user experience.
• Keep abreast of the latest developments in AI, LLMs, and software development.
• Integrate digital assistants and agentic flows with cloud platforms.
• Use YAML, for effective configuration management of digital assistant applications

What you bring

• Master’s/bachelor’s degree in computer science, data science, engineering, or a related field.
• Strong analytical and problem-solving skills
• Between 0-3 years of experience Python, ML, LLM