Staff Software Engineer — Agentic AI Platform

UKG

Seattle (WA)

On-site

USD 130,000 - 214,000

Full time

21 hours ago
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Job summary

UKG is seeking a Staff Software Engineer to scale agentic AI capabilities on Google ADK and related platforms. You will drive architectural excellence, mentor engineers, and lead large-scale agentic projects across the organization.

This role blends cutting‑edge AI, enterprise integration, and rigorous engineering practices to deliver reliable, observable agent systems. You will collaborate with cross-functional teams, design multi‑agent workflows, and ensure performance, cost, and security

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
  • 7+ years of professional software development experience, 2+ years in agentic AI.
  • Proficient in Python, Java, C#, JavaScript or TypeScript.

Responsibilities

  • Design, build, and deploy production-grade AI agents using Google ADK and other platforms.
  • Lead cross-functional teams to deliver large-scale agent-powered projects.
  • Architect multi-agent systems with tool integrations and orchestration patterns.
  • Drive technical strategy for agentic AI initiatives and ensure scalable, reliable systems.
  • Mentor engineers; promote testing, observability, and DevOps practices.
  • Collaborate with stakeholders to translate agent capabilities to business outcomes.

Skills

Python
Java
C#
JavaScript
TypeScript

Education

Bachelor’s or Master’s degree in Computer Science/Engineering

Tools

Google ADK
Anthropic Claude SDK
LangChain
LangGraph

Job description

UKG is seeking a Staff Software Engineer to scale agentic AI capabilities on Google ADK and related platforms. You will drive architectural excellence, mentor engineers, and lead large-scale agentic projects across the organization.

This role blends cutting‑edge AI, enterprise integration, and rigorous engineering practices to deliver reliable, observable agent systems. You will collaborate with cross-functional teams, design multi‑agent workflows, and ensure performance, cost, and security

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