Full-Stack AI Engineer

Hewlett Packard EnterpriseSan Juan, PR
Hybrid

About The Position

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.

Requirements

  • 5+ years of experience in full-stack software development with Python (Django) and React.
  • 2+ years of hands-on experience developing and integrating AI/ML solutions, including Generative AI, NLP, LLMs, or machine learning applications.
  • Strong grasp of machine learning fundamentals, NLP, and algorithm implementation.
  • Experience architecting AI-powered features delivered via APIs or microservices.
  • Practical experience building and automating CI/CD pipelines (Jenkins, Git, Artifactory).
  • Hands-on exposure to Docker and Kubernetes (deployments, scaling, automation).
  • Familiarity with DevOps practices and infrastructure automation.

Nice To Haves

  • Certifications in AI/ML, AWS, Azure, or Kubernetes.
  • Experience deploying large language models or generative AI solutions.
  • Familiarity with Helm, Terraform, and Infrastructure-as-Code.
  • Secure AI pipeline delivery, artifact governance, and compliance workflows.

Responsibilities

  • Lead backend development in Python (Django) and frontend/UI in React.
  • Develop, deploy, and maintain AI/ML features (ML models, NLP pipelines, AI APIs) for production use.
  • Integrate AI-driven functionalities into web and cloud-native applications (generative AI, chatbot frameworks, recommender systems).
  • Design REST APIs and maintain PostgreSQL schemas.
  • Experience with modern AI frameworks and libraries such as LangChain, LangGraph, LlamaIndex, Hugging Face Transformers, PyTorch, TensorFlow, and scikit-learn.
  • Experience integrating AI/LLM APIs such as OpenAI, Azure OpenAI, Anthropic, Google Gemini, Hugging Face, or similar platforms.
  • Experience building AI-powered applications using vector databases/search technologies such as Pinecone, Qdrant, Milvus, Weaviate, pgvector, Elasticsearch, or OpenSearch.
  • Hands-on experience with AWS, Azure, GCP, and Oracle Cloud, including AWS Marketplace, Azure Marketplace, Google Cloud Marketplace, and Oracle Cloud Marketplace product validation, onboarding, and publishing processes.
  • Experience automating cloud marketplace publishing and lifecycle management using marketplace APIs, CLI tools, or partner integrations, with exposure to VM images, container-based products, SaaS offerings, BYOL, and usage-based offerings.
  • Build and automate CI/CD pipelines using Jenkins, Git, and Artifactory for efficient software releases.
  • Support containerization, orchestration, and application deployment using Docker and Kubernetes.
  • Collaborate closely with DevOps, cloud, and data engineering teams to drive best practices.

Benefits

  • 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.
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