About this opportunity
Fairygodboss lists this Staff Software Engineer (Agentic AI) opportunity in lowell, Massachusetts. Review the employer’s description below for duties, qualifications and application requirements.
Job description
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.
Responsibilities
Design, build, and deploy production‑grade AI agents using Google ADK and other agentic platforms (Anthropic Claude SDK, LangGraph, 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.
Qualifications
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 TypeScript.
Hands‑on experience building production agents using platforms such as Google ADK, Anthropic Claude SDK, LangChain, LangGraph, 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 DevOps 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 GitHub.
Strong problem‑solving skills, attention to detail, and commitment to delivering high‑quality agent‑powered solutions.
Experience building telemetry and observability for agentic systems (execution tracing, decision logging, cost monitoring, success rate tracking).
Strong leadership, communication, and interpersonal skills, with ability to influence and drive agentic AI technical decisions across the organization.
Compensation & Benefits
The pay range for this position is $129,500 to $186,100. The actual base pay offered may vary depending on skills, experience, job‑related knowledge, and work location. Eligible employees may also participate in a performance‑based bonus plan and restricted stock unit awards.
Equal Opportunity Employer
UKG is an equal‑opportunity employer. We evaluate qualified applicants without regard to race, color, disability, religion, sex, age, national origin, veteran status, genetic information, or other protected categories. UKG participates in E‑Verify. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment; any employer who violates this law shall be subject to criminal penalties and civil liability. For individuals with disabilities that need additional assistance during the application and interview process, please contact
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Worksite address
lowell, MA, 01856, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.