AI Platform Engineer: LLM Agents & RAG Architect

Equinix, Inc.; Redwood City (CA); On-site; USD 142,000 - 212,000; Full time

Job summary

Equinix is seeking an experienced engineering professional to drive the development and delivery of next-generation AI-powered platforms and agentic solutions. This role blends software engineering with deep expertise in LLMs, MCP, RAG, and modern cloud-native practices.

The candidate will lead design and implementation of AI agents, set quality and governance standards, and collaborate with product, architecture, security, and engineering teams to deliver scalable, secure AI solutions that

Qualifications

• Bachelor’s degree in computer science, Software Engineering, Data Science.
• Master’s degree or PhD is highly desirable.
• 6+ years of experience in the full software development life cycle.
• 5+ years of programming with Python or Java.
• 3+ years of developing, deploying or optimizing ML models.
• 3+ years building LLM-powered applications or autonomous agent systems.
• Experience with prompt engineering, tool calls, and retrieval systems.

Responsibilities

• Design, build, deploy, and maintain LLM-powered agents and AI-driven applications.
• Integrate AI capabilities into existing platforms to enhance functionality and UX.
• Implement evaluation frameworks, quality gates, and release criteria for AI agents.
• Establish guardrails, human-in‑the‑loop approvals, and Responsible AI governance.
• Monitor and optimize agent quality, latency, and costs.
• Design and maintain RAG architectures, vector databases and knowledge graphs.
• Lead CI/CD pipelines using GitHub Actions and DevOps practices.
• Collaborate with cross-functional teams to deliver scalable AI solutions.

Skills

Python

Java

LLM

APIs

Cloud

Education

Bachelor’s degree in CS/Software Eng/Data Science

Master’s degree or PhD desirable

Tools

LangGraph

CrewAI

AutoGen

Semantic Kernel

MCP

A2A

AWS

Azure

GCP

Job description

Equinix is seeking an experienced engineering professional to drive the development and delivery of next-generation AI-powered platforms and agentic solutions. This role blends software engineering with deep expertise in LLMs, MCP, RAG, and modern cloud-native practices.

The candidate will lead design and implementation of AI agents, set quality and governance standards, and collaborate with product, architecture, security, and engineering teams to deliver scalable, secure AI solutions that