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What You’ll Do
In this role, you will:
Develop and maintain Generative AI Digital Assistants using AI APIs, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG).
Collaborate with Data Scientists, Software Architects, and Engineers to design and implement intelligent assistant functionalities.
Ensure scalability, reliability, and performance of digital assistant applications.
Implement automated deployment and monitoring for digital assistants using CI/CD pipelines .
Enhance workflows to improve efficiency and user experience.
Stay updated with the latest advancements in AI, LLMs, and cloud-native software development.
Integrate digital assistants with cloud platforms.
Work closely with various teams to embed AI-driven digital assistant capabilities into their applications.
What You Bring
Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
4-8 years of overall experience in software development.
Strong proficiency in developing microservices using Java and Spring Boot .
In-depth understanding of AI concepts such as RAG (Retrieval-Augmented Generation) and Prompt Engineering .
Expertise in Cloud-Native Architectures and CI/CD tools .
Experience in Cloud Development , preferably with SAP Business Technology Platform (BTP) and the SAP Cloud Application Programming Model (CAP).
Hands-on experience in building AI-powered Digital Assistants (like SAP Joule) would be an added advantage.
Proficiency in Python is a plus.
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