Senior AI Platform Engineer - End-to-End ML

Zerto; Puerto Rico; Hybrid; Confidential; Full time

Job summary

Hewlett Packard Enterprise seeks a Senior AI Software Developer to own end-to-end AI feature delivery—from design to production—while ensuring secure, observable, and performant systems. The role emphasizes building scalable AI solutions, with strong focus on LLMs, RAG, and tool calling.

The ideal candidate has 7-10 years of experience, hands-on expertise in Python, containerization, and ML platforms, and thrives in a collaborative, hybrid-work environment.

Qualifications

• Bachelor's or Master's degree in computer science, engineering, data science, machine learning, AI, or related field.
• Typically, 7-10 years' experience.

Responsibilities

• Translate high-level designs into component contracts, APIs, and service boundaries.
• Implement LLM integrations, RAG pipelines, agents, tool/function calling, and prompt strategies.
• Own feature delivery for sprints/releases; maintain high code quality and documentation.

Skills

LLMs & Agents

Python

MLOps/Infra

Observability

Frameworks (PyTorch/TensorFlow)

Data (Pandas/SQL)

Vector DBs

CI/CD

Education

Bachelor's or Master's degree in CS/Engineering/Data Science/ML

Tools

Docker

Kubernetes

GitHub Actions

MLFlow/W&B

Job description

Hewlett Packard Enterprise seeks a Senior AI Software Developer to own end-to-end AI feature delivery—from design to production—while ensuring secure, observable, and performant systems. The role emphasizes building scalable AI solutions, with strong focus on LLMs, RAG, and tool calling.

The ideal candidate has 7-10 years of experience, hands-on expertise in Python, containerization, and ML platforms, and thrives in a collaborative, hybrid-work environment.