Full-Stack AI Engineer
Hewlett Packard Enterprise is hiring a Full-Stack AI Engineer. Level rates it ; you can apply on Hewlett Packard Enterprise.
Level's read on this job
- On Level's scale, this AI engineer role is Builds AI ●●●●: the job is building AI systems.
- Some of the work can be done remotely, according to the posting.
- The posting mentions OpenAI, Anthropic and Gemini among its tools and skills.
- Level classes it as a senior role.
- Hewlett Packard Enterprise has 1,700+ other open roles on Level.
AI in this role
Develop and deploy full-stack web applications and production-ready AI/ML features, NLP pipelines, and generative AI models.
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:
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, artifact governance, and compliance workflows.
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:
EngineeringJob Level:
TCP_03
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.
Recruitment Fraud Alert
We 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.
All 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. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.
How we rate this
Full-Stack AI Engineer at Hewlett Packard Enterprise rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- Typical AI engineer job
- $184k
This posting doesn't list pay. Use the typical AI engineer figure when pay comes up. See AI engineer jobs
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- What NLP problem have you worked on, and how did you measure whether it actually worked?
- Tell me about a project where full stack was part of your work. What did you do?
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where api development was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Prompt engineering, NLP, Full Stack, Machine learning, and API Development. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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