Full-Stack AI Engineer

Full-Stack AI Engineer 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.

We're seeking a Full-Stack Engineer with deep expertise in backend (Python/Django), frontend (React), and applied Artificial Intelligence (AI), plus strong hands-on experience with DevOps practices, containerized infrastructure, and CI/CD systems. You'll develop, and deploy scalable application features and machine learning models, supporting robust cloud-based environments with Kubernetes, Docker, and automated workflows. You will design production-ready AI features (ML models, NLP, prompt engineering, APIs), build seamless web apps, and optimize secure software delivery pipelines. In a typical day as a Full-Stack AI Engineer, you would... 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). 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. Design REST APIs and maintain PostgreSQL schemas. 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. What you need to bring: 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 Have • 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,