Hybrid Full-Stack AI Engineer: Python, React, ML

Hewlett Packard Enterprise Company; Friday Harbor (WA); Hybrid; USD 130,000 - 180,000; Full time

Job summary

Hewlett Packard Enterprise is seeking a Full-Stack AI Engineer with deep Python/Django and React expertise, plus strong DevOps and AI capabilities. You will develop scalable AI-enabled features, deploy them on cloud-native environments, and integrate AI APIs and ML models across enterprise applications.

The role emphasizes building secure pipelines, collaborating with DevOps, cloud, and data teams, and delivering production-grade AI features using modern frameworks and tools.

Qualifications

• 5+ years of experience in full-stack software development with Python and React.
• 2+ years of hands-on AI/ML solution development and integration.

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 apps.
• Work with modern AI frameworks such as LangChain, LangGraph, LlamaIndex, Hugging Face Transformers, PyTorch, TensorFlow, scikit-learn.
• Experience integrating AI/LLM APIs (OpenAI, Azure OpenAI, Anthropic, Google Gemini, Hugging Face).
• Work with vector databases/search tech (Pinecone, Qdrant, Milvus, Weaviate, pgvector, Elasticsearch, OpenSearch).
• Design REST APIs and maintain PostgreSQL schemas.
• Hands-on cloud experience (AWS, Azure, GCP, Oracle) and cloud marketplaces.
• Automate CI/CD pipelines (Jenkins, Git, Artifactory).
• Support Docker and Kubernetes for deployment and orchestration.
• Collaborate with DevOps, cloud, and data engineering teams.

Skills

Python/Django

React

Tools

Docker

Kubernetes

CI/CD

Jenkins

Artifactory

PostgreSQL

LangChain

LangGraph

LlamaIndex

PyTorch

TensorFlow

scikit-learn

Job description

Hewlett Packard Enterprise is seeking a Full-Stack AI Engineer with deep Python/Django and React expertise, plus strong DevOps and AI capabilities. You will develop scalable AI-enabled features, deploy them on cloud-native environments, and integrate AI APIs and ML models across enterprise applications.

The role emphasizes building secure pipelines, collaborating with DevOps, cloud, and data teams, and delivering production-grade AI features using modern frameworks and tools.