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Hewlett Packard Enterprise Development LP in San Juan is seeking a Junior Software Engineer to support design, development, testing and operation of secure and scalable Generative AI products and platforms. You will collaborate with experienced team members to build foundational skills in large language models, retrieval-augmented generation, vector databases, and cloud technologies.
The role emphasizes strong programming fundamentals, curiosity, a willingness to learn, and the ability to work
This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.
Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.
Job Family Definition: Designs, develops, troubleshoots and debugs software programs for software enhancements and new products. Develops software including operating systems, compilers, routers, networks, utilities, databases and Internet-related tools. Determines hardware compatibility and/or influences hardware design.
Management Level Definition: Contributions include applying intermediate level of subject matter expertise to solve common technical problems. Acts as an informed team member providing analysis of information and recommendations for appropriate action. Works independently within an established framework and with moderate supervision.
We are seeking a Junior Software Engineer to support the design, development, testing, and operation of secure and scalable Generative AI products and platforms. In this role, the engineer will work with experienced team members to build foundational skills in large language models (LLMs), retrieval-augmented generation (RAG), vector databases, cloud technologies, networking, and distributed systems. The successful candidate will demonstrate strong programming fundamentals, curiosity, a willingness to learn, and the ability to collaborate effectively while contributing to prototypes, product features, documentation, testing, and production support.