18 hours ago
Base Salary
$130k - $214k/yr
Responsibilities
- Design, build, deploy, and maintain production-grade AI agents and multi-agent workflows.
- Integrate agents with enterprise systems through APIs, tools, MCP servers, plugins, and skills.
- Drive technical strategy and architecture for agentic AI initiatives and communicate decisions to technical and non-technical stakeholders.
- Lead cross-functional delivery of complex agent-powered projects and coordinate team activities.
- Implement agent deployment, monitoring, versioning, cost monitoring, performance optimization, tracing, decision logging, and failure analysis.
- Define and automate agent evaluation, prompt validation, tool validation, workflow, and adversarial testing strategies.
- Monitor service health and agent performance, conduct root cause analysis, and improve reliability and quality.
- Mentor engineers and advocate for engineering excellence and modern agent development practices.
- Evaluate emerging agentic AI technologies and recommend adoption where appropriate.
Requirements
- Bachelor’s or master’s degree in computer science, engineering, or a related technical field.
- 7+ years of professional software development experience, including 2+ years building agentic AI systems or LLM-powered applications in production.
- Deep expertise in one or more of Python, Java, C#, JavaScript, or TypeScript.
- Hands-on experience building production agents with Google ADK, Anthropic Claude SDK, LangChain, LangGraph, or similar frameworks.
- Experience designing multi-agent systems, orchestration patterns, tool-use architectures, prompt engineering, and context engineering.
- Experience integrating agents with enterprise systems through REST APIs, MCP, function calling, and related protocols.
- Extensive software architecture and design experience with scalable and reliable systems in a DevOps model.
- Track record of leading large-scale, complex software projects, including agentic AI initiatives.
- Proficiency with GCP, Vertex AI, Azure, Azure OpenAI, AWS, Bedrock, and GitHub.
- Experience building telemetry and observability for agentic systems, including execution tracing, decision logging, cost monitoring, and success-rate tracking.
- Strong leadership, communication, problem-solving, and stakeholder-influence skills.
Benefits
- Flexible work arrangements and employee benefits are offered.
- Employees may be eligible for performance-based bonuses and restricted stock unit awards as part of total compensation.
Categories
About UKG
UKG builds cloud software for human capital and workforce management—HR, payroll, timekeeping, and scheduling—sold as SaaS to mid‑size and large employers. Formed in 2020 by the merger of Ultimate Software and Kronos, it is privately held by Hellman & Friedman and has dual headquarters in Lowell, Massachusetts, and Weston, Florida. Its platform helps organizations handle pay, compliance, and workforce planning across industries.