Software Engineer; Agentic AI

Staff Software Engineer – Agentic Acceleration Group

We are seeking a highly experienced Staff Software Engineer to build and scale our agentic AI capabilities on Google's Agent Development Kit (ADK) and other enterprise agentic platforms. This role will provide the opportunity to work on cutting‑edge agentic AI systems, intelligent automation workflows, and impactful projects used by enterprises and users worldwide.

• Design, build, and deploy production‑grade AI agents using Google ADK and other agentic platforms (Anthropic Claude SDK, Lang Graph, etc.).
• Build agents that integrate with enterprise systems through tools, APIs, and Model Context Protocol (MCP) servers; design and implement custom tools, skills, and plugins that extend agent capabilities across UKG’s HCM platform.
• Drive the technical strategy and vision for agentic AI initiatives and major projects, ensuring alignment with business goals and industry best practices.
• Lead cross‑functional teams to design, develop, and deliver high‑impact agent‑powered projects on time and within budget.
• Architect, design, and develop complex agentic systems on Google ADK and similar platforms, ensuring high standards of performance, scalability, and reliability.
• Ensure health and quality of agent‑powered services, proactively identifying and addressing issues; use service health indicators, agent performance metrics, and telemetry.
• Oversee agent deployment, monitoring, and lifecycle management, implementing best practices for versioning, cost monitoring, optimization, and iterative improvement.
• Advocate for and implement best quality practices for agentic systems; guide team in maintaining service quality through comprehensive testing (agent evaluation, prompt testing, tool validation).
• Build testable agents and agentic systems, define tests—including agent evaluation, tool validation, prompt validation—and automate them with appropriate frameworks.
• Provide technical mentorship and guidance on agent development; mentor junior engineers on building production‑grade agents, designing tool integrations, and implementing agent safety practices.
• Stay current with emerging agentic AI technologies and platforms, advocating for their adoption where appropriate to drive innovation and productivity.

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• 7+ years of professional software development experience, with 2+ years building agentic AI systems or LLM‑powered applications in production.
• Deep expertise in at least one of Python, Java, C#, JavaScript, or Type Script.
• Hands‑on experience building production agents using platforms such as Google ADK, Anthropic Claude SDK, Lang Chain, Lang Graph, or similar.
• Experience designing and implementing multi‑agent systems, agent orchestration patterns, and tool‑use architectures.
• Strong understanding of prompt engineering, context engineering, and agent design patterns (ReAct, Chain‑of‑Thought, tool use, multi‑agent collaboration).
• Experience integrating agents with enterprise systems through APIs, tools, and protocols (REST APIs, MCP, function calling).
• Extensive experience with software architecture and design patterns; ability to design and implement scalable, reliable agentic systems in a Dev Ops model.
• Proven track record of leading and delivering large‑scale, complex software projects, including agentic AI initiatives.
• Proficiency with cloud technologies such as GCP (Vertex AI, Google ADK), Azure (Azure OpenAI), AWS (Bedrock) and version control systems like Git Hub.
• Strong problem‑solving skills, attention to detail, and commitment to delivering high‑quality agent‑powered solutions.
• Experience building telemetry and observability for agentic systems…