{"id":1165406,"url":"https://alion.io/job/hewlett-packard-enterprise-full-stack-ai-engineer","title":"Full-Stack AI Engineer","company":{"id":5292,"name":"Hewlett Packard Enterprise","domain":"hpe.com","url":"https://alion.io/company/hewlett-packard-enterprise","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":82,"open_postings":156,"ghost_share":0,"stale_share":0.91,"repost_share":0,"time_to_fill_p50_days":16,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Juan, Puerto Rico"],"countries":["PR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":104000,"max_usd":266000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2102},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anthropic","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Django","optional":false},{"name":"Docker","optional":false},{"name":"ElasticSearch","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"Git","optional":false},{"name":"Hugging Face","optional":false},{"name":"Jenkins","optional":false},{"name":"JFrog Artifactory","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Milvus","optional":false},{"name":"NLP","optional":false},{"name":"OpenAI","optional":false},{"name":"OpenSearch","optional":false},{"name":"pgvector","optional":false},{"name":"Pinecone","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Qdrant","optional":false},{"name":"React.js","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Rest API","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false},{"name":"Transformers","optional":false},{"name":"Weaviate","optional":false},{"name":"Helm","optional":true},{"name":"JavaScript","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-09-05T00:00:00Z","employer_posted_date":"2026-09-05","last_verified_at":"2026-10-17T03:30:30Z","board_verified":true,"closed_at":null,"days_open":43,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":43},"description":"Full-Stack AI EngineerThis 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:\nHewlett 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.\nJob Description:\nWe'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.\nYou will design production-ready AI features (ML models, NLP, prompt engineering, APIs), build seamless web apps, and optimize secure software delivery pipelines.\nIn a typical day as a Full-Stack AI Engineer, you would...\nLead backend development in Python (Django) and frontend/UI in React.\n\nDevelop, deploy, and maintain AI/ML features (ML models, NLP pipelines, AI APIs) for production use.\n\nIntegrate AI-driven functionalities into web and cloud-native applications (generative AI, chatbot frameworks, recommender systems).\n\nExperience with modern AI frameworks and libraries such as LangChain, LangGraph, LlamaIndex, Hugging Face Transformers, PyTorch, TensorFlow, and scikit-learn.\n\nExperience integrating AI/LLM APIs such as OpenAI, Azure OpenAI, Anthropic, Google Gemini, Hugging Face, or similar platforms.\n\nExperience building AI-powered applications using vector databases/search technologies such as Pinecone, Qdrant, Milvus, Weaviate, pgvector, Elasticsearch, or OpenSearch.\n\nDesign REST APIs and maintain PostgreSQL schemas.\n\nHands-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.\n\nExperience 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.\n\nBuild and automate CI/CD pipelines using Jenkins, Git, and Artifactory for efficient software releases.\n\nSupport containerization, orchestration, and application deployment using Docker and Kubernetes.\n\nCollaborate closely with DevOps, cloud, and data engineering teams to drive best practices.\n\nWhat you need to bring:\n5+ years of experience in full-stack software development with Python (Django) and React.\n\n2+ years of hands-on experience developing and integrating AI/ML solutions, including Generative AI, NLP, LLMs, or machine learning applications.\n\nStrong grasp of machine learning fundamentals, NLP, and algorithm implementation.\n\nExperience architecting AI-powered features delivered via APIs or microservices.\n\nPractical experience building and automating CI/CD pipelines (Jenkins, Git, Artifactory).\n\nHands-on exposure to Docker and Kubernetes (deployments, scaling, automation).\n\nFamiliarity with DevOps practices and infrastructure automation.\n\nNice to Have\nCertifications in AI/ML, AWS, Azure, or Kubernetes.\nExperience deploying large language models or generative AI solutions.\nFamiliarity with Helm, Terraform, and Infrastructure-as-Code.\nSecure AI pipeline delivery, artifact governance, and compliance workflows.\nWhat We Can Offer You:\nHealth & Wellbeing\nWe strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.\nPersonal & Professional Development\nWe 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.\nUnconditional Inclusion\nWe 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.\nLet's Stay Connected:\nFollow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.\nJob:\nEngineeringJob Level:\nTCP_03HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBTemployer. 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.\nHewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.\nHPE 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.\nRecruitment Fraud Alert\nWe have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.\nAll legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. 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