3 days ago
Base Salary
$102k - $169k/yr
Responsibilities
- Design, build, test, and deploy production-grade AI agents, workflows, tool integrations, and multi-agent orchestration.
- Integrate agents with UKG enterprise systems using tools, APIs, MCP servers, custom skills, and plugins.
- Own delivery of agent-powered features and projects in partnership with product, architecture, and engineering teams.
- Contribute to technical designs covering coordination, delegation, communication, scalability, reliability, performance, and maintainability.
- Review code, uphold engineering quality, and implement testing and observability practices.
- Monitor service health and agent performance, conduct root cause analysis, and improve reliability and efficiency.
- Manage agent deployment, versioning, cost monitoring, performance optimization, tracing, decision logging, and failure analysis.
- Define and automate agent-specific testing, including prompt validation, evaluation, workflow, tool invocation, tool validation, and adversarial testing.
- Document features and operational procedures, share knowledge, mentor engineers, and evaluate emerging agentic AI technologies.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
- At least 4 years of professional software development experience with hands-on LLM-powered application or agentic AI system development.
- Deep expertise in one or more of Python, Java, C#, JavaScript, or TypeScript.
- Production experience with Google ADK, Anthropic Claude SDK, LangChain, LangGraph, or similar agentic frameworks.
- Understanding of agent orchestration, tool-use architectures, prompt and context engineering, ReAct, and multi-agent collaboration.
- Experience integrating software or agents with enterprise systems through APIs, tools, REST APIs, MCP, and function calling.
- Experience with software architecture, design patterns, and scalable, reliable systems operated across the software lifecycle.
- Experience delivering complex software features or projects with product, architecture, and engineering stakeholders.
- Proficiency with GCP, Vertex AI, Google ADK, Azure, Azure OpenAI, AWS, Bedrock, and GitHub or comparable technologies.
- Experience building telemetry and observability, including execution tracing, decision logging, cost monitoring, or success-rate tracking.
- Strong problem-solving, communication, collaboration, attention to detail, and commitment to high-quality solutions.
- Preferred qualifications include agent evaluation, prompt testing, tool validation, adversarial testing, automated testing, production observability, accessible technology development, and participation in diversity and inclusion initiatives.
Benefits
- The position offers flexibility and UKG benefits and rewards.
- The role is not eligible for sponsorship.
- Employees may be eligible for performance-based bonuses and restricted stock unit awards in addition to base pay.
- UKG provides disability accommodations during the application and interview process.
Categories
About UKG
UKG is the Workforce Operating Platform that puts workforce understanding to work. With the world's largest collection of workforce insights, and people-first AI, our ability to reveal unseen ways to build trust, amplify productivity, and empower talent, is unmatched. It's this expertise that equips our customers with the intelligence to solve any challenge in any industry — because great organizations know their workforce is their competitive edge.