AI Platform Engineer (Agentic Systems)

About the role

We are seeking a highly skilled AI Platform Engineer to help design and build the next generation of AI-driven development systems for enterprise engineering teams.

Responsibilities

• Design and implement structured agent harnesses and orchestration frameworks that enable AI coding agents to operate reliably across enterprise codebases
• Develop and enforce architectural constraints and guardrails, including dependency rules, custom linters, and structural validation tests
• Create and maintain context engineering frameworks (e.g., AGENTS.md files, in-repo documentation, feature manifests) to enhance AI reasoning and performance
• Collaborate with engineering teams to integrate AI-driven development workflows into CI/CD pipelines and developer tooling ecosystems

Qualifications

• High School Diploma or GED equivalent
• Bachelor’s degree in Computer Science, Engineering, or a related technical field
• 5+ years of experience in software engineering fundamentals, including architecture, CI/CD pipelines, automated testing, and developer tooling
• 1+ year of hands-on experience working with AI coding agents (e.g., Claude Code, Codex CLI, Cursor, Windsurf, or similar) in real-world development environments
• 1+ year of experience with agent orchestration or tool-use patterns, including MCP servers, APIs, or multi-agent frameworks
• Strong understanding of application architecture patterns and enterprise-scale development practices

Preferred Qualifications

• Experience building or contributing to developer platforms, internal tooling, or reusable reference architectures used across engineering teams
• Familiarity with context engineering, including structuring repositories, schemas, and documentation for effective AI agent reasoning
• Experience creating technical documentation, such as playbooks, runbooks, or developer guides
• Exposure to or proficiency with multiple programming languages or frameworks (e.g., .NET, Node.js, Python)
• Experience working in AI-first or agent-assisted development environments, where engineers define intent, constraints, and validation approaches