Staff SW Systems Engineer -Agentic Product Engineer

Extremenetworks; Seattle (WA); On-site; USD 150,000 - 230,000; Full time

Job summary

Extreme Networks seeks an experienced Agentic Product Engineer / Staff SW Systems Engineer to own end-to-end development of AI-assisted software. You will design, implement, test, and deploy full-stack systems with AI agents as primary execution tools, integrating backend APIs, data pipelines, and cloud deployment into production-ready solutions.

You will ship multiple features in 90 days, build agent context docs for surfaces, and operate with minimal supervision on new problems.

Qualifications

• 8+ years of professional software engineering experience with production systems

Responsibilities

• Own end-to-end surface from design to production deployment.
• Build and iterate AI-assisted workflows with agentic tools.
• Develop internal tooling and dashboards for engineering teams.
• Collaborate with team leads and engineers to deliver features on schedule.

Skills

Full-stack development

Production-grade software

End-to-end ownership

Problem solving

Tools

Python

TypeScript/JavaScript

AI coding agents

Anthropic SDK

Microsoft Agent Framework

Model Context Protocol (MCP)

GitHub Actions

AWS/Azure

RAG pipelines

Knowledge Graphs & vector databases

Job description

Position

Agentic Product Engineer / Staff SW Systems Engineer

Experience

8 to 14 Years Experience

Skills

Python, TypeScript or JavaScript, AI coding agents (Claude Code, Copilot, Cursor), Anthropic SDK or Microsoft Agent Framework or LangGraph, MCP (Model Context Protocol)

About This Team

We are a newly formed, small, high‑impact team with a strategic mandate: accelerate Extreme’s adoption of AI‑assisted ways of working across the company. We design and build internal AI‑powered tools and systems used by Extreme’s engineering and business teams to move faster, with higher quality. The team reports directly to senior executive leadership. You will work closely with the team lead and alongside a small group of engineers with high ownership over what gets built and shipped.

About the Role

You are a full‑stack builder who takes a spec and owns it end‑to‑end: design, implementation, testing, and deployment. You work with AI coding agents as your primary execution tool — not autocomplete, but agentic workflows where you direct, evaluate, and iterate on agent‑generated output to ship production‑grade software faster and with higher quality. This is not a specialization role. You own your surface from inception to production. Backend APIs, data pipelines, lightweight frontends, GitHub Actions workflows, cloud deployment — you handle the full lifecycle without handoffs.

What You Will Build

• AI workflow infrastructure: Automation, integrations, and governance harnesses that enable teams to adopt and operate AI‑assisted development workflows — connecting GitHub, Jira, and Confluence into structured, repeatable pipelines.
• Internal dashboards: Tools that help engineering teams track quality and progress on their own AI‑assisted work.
• MCP servers and integrations: Organizational knowledge exposed to AI coding agents via Model Context Protocol — enabling agents to query internal systems in real time.

Qualifications

• 8+ years of professional software engineering experience, with a track record of shipping production systems.
• Python and TypeScript/JavaScript — backend services, pipelines, frontends, and automation.
• CI/CD experience building pipelines and automated workflows (GitHub Actions).
• Cloud fundamentals (AWS or Azure) — enough to deploy what you build.
• Production experience with AI coding agents (Claude Code, GitHub Copilot, Cursor, or equivalent) — agentic sessions, not just autocomplete.
• Experience with agent frameworks: 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.

What Success Looks Like at 90 Days

• You've shipped at least two production features end to end.
• Agent context documentation for your assigned surfaces is comprehensive enough that a new team member’s agent generates correct output from it on first use.
• You're operating with minimal supervision on new problem statements.

Equal Employment Opportunity

We encourage people from underrepresented groups to apply. In keeping with our values, no employee or applicant will face discrimination/harassment based on: race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. Above and beyond discrimination/harassment based on “protected categories,” Extreme Networks also strives to prevent other, subtler forms of inappropriate behavior (e.g., stereotyping) from ever gaining a foothold in our organization. Whether blatant or hidden, barriers to success have no place at Extreme Networks.