Hybrid Full-Stack AI Engineer — Build AI Apps

Zerto; San Juan (PR); Hybrid; USD 140,000 - 210,000; Full time

Job summary

Hewlett Packard Enterprise is seeking a Full‑Stack AI Engineer to design and ship AI-enabled features. You will own both backend (Python/Django) and frontend (React), applying AI/ML models and NLP workloads in production environments with containerized infrastructure.

You will collaborate with DevOps and cloud teams to implement scalable, secure pipelines using Docker, Kubernetes, and CI/CD tools while translating business needs into robust software.

Qualifications

• 5+ years of full‑stack software development with Python (Django) and React.
• 2+ years building and integrating AI/ML features (Generative AI, NLP, LLMs).
• Strong ML fundamentals, NLP, and algorithm implementation.
• Experience architecting AI features delivered via APIs or microservices.
• CI/CD pipelines automation (Jenkins, Git, Artifactory) and DevOps practices.

Responsibilities

• Lead backend development in Python (Django) and frontend in React.
• Develop, deploy, and maintain AI/ML features for production use.
• Integrate AI-driven functionalities into web and cloud applications.
• Design production‑grade AI features (APIs, NLP, prompts) and scalable pipelines.
• Build and automate CI/CD pipelines and cloud deployment (Docker, Kubernetes).
• Collaborate with DevOps, cloud and data engineering teams on best practices.

Skills

Python Django

React

AI/ML

CI/CD

Docker

Kubernetes

DevOps

API design

Tools

LangChain

LangGraph

LlamaIndex

Hugging Face Transformers

PyTorch

TensorFlow

scikit-learn

Job description

Hewlett Packard Enterprise is seeking a Full‑Stack AI Engineer to design and ship AI-enabled features. You will own both backend (Python/Django) and frontend (React), applying AI/ML models and NLP workloads in production environments with containerized infrastructure.

You will collaborate with DevOps and cloud teams to implement scalable, secure pipelines using Docker, Kubernetes, and CI/CD tools while translating business needs into robust software.