Software Engineer II - Generative AI & LLM Platforms

Zerto; San Juan (PR); Hybrid; USD 90,000 - 130,000; Full time

Benefits offered by this job

Health & Wellbeing program

Career development opportunities

Inclusive culture

Job summary

Hewlett Packard Enterprise is seeking a Software Engineer II to contribute to Generative AI and LLM platforms. The role is hybrid, requiring an average of two days per week at an HPE office, with responsibilities spanning design, development, testing, and production support.

You will work with experienced engineers to build foundational skills in LLMs, RAG, vector databases, cloud technologies, networking, and distributed systems, while following security and quality practices.

Qualifications

• Foundational software development knowledge from academic projects or internships.
• Proficiency in Python or Golang; APIs, testing, debugging, and version control.
• Interest in Generative AI and LLM concepts.
• Basic understanding of AWS and cloud services.
• Foundational networking, scalability, and security concepts.
• Willingness to learn and collaborate in an Agile environment.

Responsibilities

• Designs limited enhancements, updates, and programming changes for portions and subsystems of systems software.
• Analyzes design and determines coding, programming, and integration activities based on objectives.
• Executes and writes portions of testing plans and documentation; debugs issues and suggests improvements.
• Participates with other engineers and external partners to develop reliable, high-quality solutions.
• Collaborates with internal and outsourced teams on design status, progress and issue resolution.

Skills

Python

Golang

APIs

Testing & Debugging

Version Control

Cloud Fundamentals

Networking Basics

Education

Bachelor's degree in Computer Science, Machine Learning, or related field

Tools

AWS

Kubernetes

Infrastructure as Code

CI/CD

Bedrock

S3

Aurora PostgreSQL

Job description

Software Engineer II – Generative AI & LLM Platforms

This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.

Who We Are:

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 Description

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.

Role Overview

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.

Responsibilities

• Designs limited enhancements, updates, and programming changes for portions and subsystems of systems software, including operating systems, compliers, networking, utilities, databases, and Internet-related tools.
• Analyzes design and determines coding, programming, and integration activities required based on specific objectives and established project guidelines.
• Executes and writes portions of testing plans, protocols, and documentation for assigned portion of application; identifies and debugs issues with code and suggests changes or improvements.
• Participates as a member of project team of other software systems engineers and internal and outsourced development partners to develop reliable, cost effective and high quality solutions for assigned systems portion or subsystem.
• Collaborates and communicates with internal and outsourced development partners regarding software systems design status, project progress, and issue resolution.

Education and Experience Required

• Bachelor's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related discipline.
• Typically 2-4 years relevant experience.

Knowledge and Skills

• Foundational software development knowledge gained through academic projects, internships, training, open-source contributions, or equivalent hands‑on experience; able to work collaboratively within a team and contribute to clearly defined components of software applications.
• Basic proficiency in Python, Golang, or a similar programming language, with an understanding of APIs, testing, debugging, version control, and core software design principles.
• Awareness of Generative AI and large language model concepts such as prompts, tokens, embeddings, context, inference, and common limitations, with an interest in developing deeper expertise.
• Basic understanding of cloud concepts and services, preferably AWS, including compute, storage, identity and access management, monitoring, and deployment fundamentals.
• Foundational networking knowledge, including TCP/IP, routing and switching basics, virtual networks, connectivity, network security, and systematic troubleshooting.
• Understanding of fundamental systems concepts such as scalability, reliability, security, performance, data management, and cost awareness.
• Ability to receive feedback, ask questions, share knowledge, participate constructively in design and code reviews, and collaborate with experienced engineers.
• Curiosity, a learning mindset, and a willingness to experiment with emerging technologies while following established engineering, security, and quality practices.
• Ability to work in an agile team, break work into manageable tasks, build simple prototypes, communicate progress, and incorporate feedback into incremental improvements.

Preferred Qualifications

Cloud, Platform, and Network Architecture

• AWS cloud, Kubernetes, infrastructure as code, and CI/CD
• Amazon Bedrock and AWS AI/ML services
• Amazon EMR, Apache Spark, and Apache Flink
• Amazon Aurora PostgreSQL, pgvector, Amazon EKS, and Amazon S3

AI/ML Frameworks and Orchestration

• Hugging Face Transformers and PyTorch
• LangChain, LangGraph, and LlamaIndex

MLOps and LLMOps

• Experiment tracking, model registries, and version management

Security, and Compliance

• Privacy‑preserving AI and adversarial testing
• AI red teaming, content safety, and explainability

What We Can Offer You

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. 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.

Let’s Stay Connected

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

Job: Engineering

Job Level: TCP_02

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.