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# Platform Engineer

- **Company:** Rakuten
- **Location:** San Mateo, CA, United States
- **Experience:** Starter
- **Salary:** $79,200.0 - $133,540.0
- **Contract:** Internship / Graduate position
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Systems Engineering, Microsoft Azure, Computer Programming, Databases, Continuous Integration, Database Schema, Github, Python (Programming Language), PostgreSQL, MySQL, Redis, E2e Testing, Software Deployment, Software Requirements Analysis, Systems Architecture, ReactJS, Large Language Models, Multi-Agent Systems, Git, Fastapi, AI Platforms, Information Technology, Apache Kafka, Virtual Agents, Software Coding, Docker, Golang
- **Published:** September 3, 2026
- **Apply:** https://www.themuse.com/jobs/rakuteninternational/platform-engineer-e6dadf

## About the Role

* Hands-on experience with LLMs and AI agents, and comfort with cloud AI services (Anthropic, OpenAI, or similar on AWS/GCP/Azure).
 * Practical experience building agentic systems: Agent Skills, MCP (Model Context Protocol), and multi-agent workflows using frameworks like LangChain or Agent SDK.
 * A grasp of AI fundamentals: why models fail, hallucinations, grounding, and evaluation-driven development.
 * An automation-first instinct and a system design mindset, reasoning about tradeoffs and not just writing code.
 * 1-3 years building products end-to-end, from design through production deployment; strong, relevant internships also count.
 * Solid programming fundamentals in at least one of Java, Python, Golang, or React, plus Git and collaborative development practices.
 * Comfort working across the full stack rather than staying in one lane.
 * Exposure to CI/CD tooling (e.g., GitHub Actions) and an interest in developer productivity/platform tooling.

Nice to Have:

 * Master's degree in AI/ML, Computer Science, or a related field.
 * Experience with Docker/containers, Agent Skills, MCP, monitoring, or API frameworks like FastAPI.
 * Hackathons, programming competitions, or personal projects building your own AI agents and automations., * 1-3 years relevant work experience Required
 * 1-2 years of programming experience in at least one of Java, Python, Golang, or React Required
 * Bachelor's Degree Required
 * Master's Degree Preferred

## Description

You will help engineering squads adopt AI agent skills and use them daily to build better software, faster. You will act as their embedded expert, a forward-deployed engineer for AI agent skills, showing them how to use these tools, fixing issues, and closing gaps as they come up. Alongside that, you will also own core platform work: infrastructure, CI/CD, and quality engineering, keeping the systems squads depend on reliable and well-tested. You will be based in San Mateo, working closely with your manager for direct mentorship as you grow across our stack., * Acts as the embedded, forward-deployed engineer for AI tooling: finds slow or manual points in a squad's dev lifecycle, closes them with AI-powered solutions, and champions AI coding assistants and agents across the org.

 * Designs and integrates agentic and multi-agent AI systems (LangChain, Agent SDK, MCP) and external AI services (Anthropic, OpenAI, and others) into internal tools and squad workflows.
 * Strengthens quality through unit, integration, and end-to-end testing, using AI to generate and maintain coverage faster and resolve issues quickly.
 * Builds back-end services, APIs, and lightweight front-end components across the team's stack (Java, Python, Golang, React), ensuring proper integration within existing infrastructure.
 * Designs and manages data schemas and databases (PostgreSQL, MySQL, Redis, Kafka) for efficient storage and retrieval.
 * Builds and improves CI/CD pipelines, deployment tooling, and internal developer platform capabilities (templates, self-service infra) that squads depend on.

 * Acquires foundational knowledge of system engineering principles and practices relevant to assigned projects.
 * Analyzes basic system requirements and participates in the preparation of technical specifications.
 * Applies learned concepts to assist in system design and implementation for limited-scope projects.
 * Communicates progress and findings to team members and stakeholders during project reviews.
 * Coordinates with cross-functional teams to align tasks with project timelines and deliverables.
 * Develops basic documentation to support system architecture and implementation processes.
 * Escalates technical challenges or unresolved issues to senior engineers for guidance and resolution.