Hybrid Full-Stack AI Engineer (Python/React, ML)

Hewlett Packard Enterprise; San Juan (PR); Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

Health benefits

Job summary

Hewlett Packard Enterprise is seeking a Full-Stack AI Engineer to design, build, and deploy AI-enabled web applications. You will collaborate across backend, frontend, and DevOps teams to deliver scalable cloud-native features.

The role focuses on Python/Django backend, React frontend, AI/ML features, and secure delivery pipelines using Docker and Kubernetes in a hybrid cloud environment.

Qualifications

• 5+ years of experience in full-stack development with Python and React.
• 2+ years of hands-on experience developing and integrating AI/ML solutions.
• Experience building and automating CI/CD pipelines (Jenkins, Git, Artifactory).
• Hands-on exposure to Docker and Kubernetes.
• Familiarity with DevOps practices and infrastructure automation.

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).
• Integrate AI-driven functionalities into web and cloud-native applications (generative AI, chat frameworks).
• Experience with AI frameworks: LangChain, PyTorch, TensorFlow, scikit-learn.
• Experience integrating AI/LLM APIs (OpenAI, Azure OpenAI, Anthropic, Google Gemini).
• Experience building AI-powered applications using vector databases (Pinecone, Milvus, Weaviate).
• Design REST APIs and maintain PostgreSQL schemas.
• Hands-on experience with AWS/Azure/GCP and cloud marketplaces.

Skills

Python

Django

React

AI/ML

NLP

REST APIs

PostgreSQL

Cloud (AWS/Azure/GCP)

CI/CD

Docker

Kubernetes

Team collaboration

Tools

Jenkins

Git

Artifactory

Terraform

Helm

OpenAI API

Job description

Hewlett Packard Enterprise is seeking a Full-Stack AI Engineer to design, build, and deploy AI-enabled web applications. You will collaborate across backend, frontend, and DevOps teams to deliver scalable cloud-native features.

The role focuses on Python/Django backend, React frontend, AI/ML features, and secure delivery pipelines using Docker and Kubernetes in a hybrid cloud environment.