Agentic AI Platform Engineer
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Build agentic AI platforms with Claude Code, MCP servers, and coding harnesses inside RBC DevOps. Scale AI-driven software delivery across development teams.
As an Artificial Intelligence Engineer, you will create agents supporting specification, implementation, testing, deployment, release, and post-deployment workflows. You will shape RBC’s spec-driven, agent-assisted software delivery methodology across the bank. The work spans custom skills, managed platforms, and native agent frameworks, selecting suitable substrates for each use case.
Key Responsibilities:
- Design agents across the full software delivery lifecycle
- Build custom skills, tools, and MCP servers
- Implement SpecKit-style specification-driven development workflows
- Enforce AI-DLC gates through machine-checked controls
- Partner with DevOps, security, and platform teams
Requirements:
- Experience wiring Claude Code into personal workflows
- Knowledge of LangChain and LangGraph frameworks
- Understanding of managed agent platforms such as Devin
- Ability to evaluate agentic AI platforms and patterns
- Interest in scaling reusable development capabilities
Apply platform engineering skills across agents, MCP servers, spec-driven workflows, and AI-enabled software delivery at RBC.