המקום בו המומחים והחברות הטובות ביותר נפגשים
WHAT YOU’LL DO
Own and develop services built on SAP’s CAP framework, responsible for content- and metadata management in document grounding, a foundational Joule capability
Create and sustain GenAI digital assistants on Joule using LLMs and RAG
Work with data scientists, software architects, and engineers to design and implement digital assistant functionalities
Focus on security, scalability, reliability, and performance of system components
Implement automated deployment and monitoring processes for digital assistants using CI/CD tools, preferably Jenkins
Keep abreast of the latest developments in AI, LLMs, and software development
Integrate digital assistants with cloud platforms
Work with data platforms such as Databricks, ADLS, and Apache Spark for efficient data management and processing
WHAT YOU’LL BRING
Non-internship professional software development experience in the cloud
Server-side development experience with JavaScript; alternatively, strong backend development skills in Java and willingness to switch
Additional experience with Python considered a plus
Non-internship experience designing systems with a focus on security, reliability and scalability
Experience with the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
Experience with CI/CD tools, preferably Jenkins
Experience in cloud development, preferably on the SAP Business Technology Platform (BTP)
Experience with pro-code data engineering tasks, preferably on Databricks and Azure Data Lake Storage (ADLS)
Familiarity with standard frameworks for large-scale data processing
Understanding of AI and machine learning concepts
Ability and willingness to adopt, evolve, and drive best engineering practices across the team
Job Segment:Test Engineer, User Experience, Software Engineer, Cloud, ERP, Engineering, Technology
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