Lead AI Software Engineer

Company Overview

With 80,000 customers across 150 countries, UKG is the largest U.S.-based private software company in the world. And we're only getting started. Ready to bring your bold ideas and collaborative mindset to an organization that still has so much more to build and achieve? Read on.

At UKG, you get more than just a job. You get to work with purpose. Our team of U Krewers are on a mission to inspire every organization to become a great place to work through our award-winning HR technology built for all.

Here, we know that you're more than your work. That's why our benefits help you thrive personally and professionally, from wellness programs and tuition reimbursement to U Choose - a customizable expense reimbursement program that can be used for more than 200+ needs that best suit you and your family, from student loan repayment, to childcare, to pet insurance. Our inclusive culture, active and engaged employee resource groups, and caring leaders value every voice and support you in doing the best work of your career. If you're passionate about our purpose - people -then we can't wait to support whatever gives you purpose. We're united by purpose, inspired by you.

• Lead architecture and delivery of cloud micro-services in Python with LangChain, LangGraph, ADK, MCP, A2A and web-first frameworks such as FastAPI, Streamlit, Gradio, FastHTML.
• Own GenAI initiatives end-to-end-data strategy, model selection or fine-tuning, evaluation, deployment, and continuous optimization for structured reasoning, autonomous planning, image/video generation, and real-time live-mode interactions.
• Set engineering standards for reliability, security, performance, CI/CD, and observability; enforce them through rigorous code reviews and mentoring.
• Drive cross-functional execution-scope epics with product, align roadmaps, and deliver high-value features on time while proactively mitigating risk.
• Champion production excellence-define SLOs, monitor telemetry, lead incident response, and run blameless root-cause analyses in a true DevOps model.
• Mentor and multiply talent-coach engineers, run lightning talks, and foster a culture of candid feedback and continuous learning.
• Document and broadcast decisions through clear design docs and architecture reviews that scale knowledge across the organization.

• Bachelor's degree in CS, Engineering, or equivalent practical experience (Master's preferred).
• 6+ years of professional Python development, including large-scale, production AI/ML systems.
• Demonstrated experience in building applications on foundation-model APIs and to use AI daily in your workflow (GitHub Copilot, Windsurf/Cursor, Claude Code, etc.).
• Hands-on cloud experience (GCP, AWS, or Azure) plus containerisation (Docker, Kubernetes) and modern CI/CD pipelines.
• Demonstrated leadership in setting technical direction and mentoring engineers.

• Deep expertise with LangChain, LangGraph, ADK, MCP, A2A and multimodal model orchestration.
• Experience in Next-gen AI coding agents/IDEs such as Cursor, Windsurf, Claude Code.
• Knowledge of GCP services (Vertex AI, BigQuery, GKE, Kubeflow), Terraform, GitHub Actions, Docker, Kubernetes.
• Knowledge of Vector, SQL, and NoSQL data stores; streaming frameworks; distributed-systems concepts; advanced observability and SRE practices.
• A self-starter who devours research papers and turns them into production-ready prototypes.
• Energized by ambiguity and full ownership in an AI-first culture; you instinctively raise the bar for those around you.
• Inclusive, candid, and relentlessly customer-obsessed.