Staff SW Systems Engineer -Agentic Product Engineer

Extreme Networks • Washington, DC

8d

About The Position

Extreme Networks is seeking an Agentic Product Engineer / Staff SW Systems Engineer with 8 to 14 years of experience to join a newly formed, high-impact team. This team has a strategic mandate to accelerate the adoption of AI-assisted ways of working across the company by designing and building internal AI-powered tools and systems. These tools will be used by Extreme's engineering and business teams to improve speed and quality. The team reports directly to senior executive leadership, and the role involves working closely with the team lead and a small group of engineers with high ownership. The ideal candidate is a full-stack builder who can own a project end-to-end, from design, implementation, testing, and deployment, utilizing AI coding agents as a primary execution tool. This is not a specialization role; the engineer will handle the full lifecycle including backend APIs, data pipelines, frontends, GitHub Actions workflows, and cloud deployment.

Requirements

• 8+ years of professional software engineering experience, with a track record of shipping production systems.
• Proficiency in Python and TypeScript/JavaScript for backend services, pipelines, frontends, and automation.
• CI/CD experience building pipelines and automated workflows (GitHub Actions).
• Cloud fundamentals (AWS or Azure) sufficient to deploy developed solutions.
• Production experience with AI coding agents (Claude Code, GitHub Copilot, Cursor, or equivalent), focusing on agentic sessions rather than just autocomplete.
• Experience with agent frameworks such as Anthropic SDK, Microsoft Agent Framework, or equivalent.
• Familiarity with MCP (Model Context Protocol).
• Familiarity with RAG pipelines, Knowledge Graphs, and vector databases.
• Experience building internal tooling adopted by large engineering organizations.

Responsibilities

• Design, implement, test, and deploy internal AI-powered tools and systems.
• Build AI workflow infrastructure, including automation, integrations, and governance harnesses to connect systems like GitHub, Jira, and Confluence into structured pipelines.
• Develop internal dashboards to help engineering teams track quality and progress on their AI-assisted work.
• Create MCP servers and integrations to expose organizational knowledge to AI coding agents.
• Utilize AI coding agents as a primary execution tool, directing, evaluating, and iterating on agent-generated output.
• Own the full lifecycle of projects without handoffs, including backend APIs, data pipelines, lightweight frontends, GitHub Actions workflows, and cloud deployment.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed