UKG
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Lead AI Software Engineer
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UKG At UKG, we are at the forefront of AI and generative AI innovation, transforming the HR/HCM industry with advanced AI-driven solutions that deliver exceptional user experiences. We are seeking a highly skilled and experienced Lead AI Engineer to join our team and contribute to the development of next-generation AI/GenAI solutions. This role offers an opportunity to work on impactful, high-scale SaaS products that serve enterprises and users globally. Responsibilities Lead architecture and delivery of cloud micro-services in Python with frameworks such as FastAPI, Streamlit, Gradio, and others. Own GenAI initiatives end-to-end, including data strategy, model selection, deployment, and optimization for various AI applications. Set engineering standards for reliability, security, performance, CI/CD, and observability; enforce through code reviews and mentoring. Drive cross-functional execution, scope epics, align roadmaps, and deliver features on time while mitigating risks. Champion production excellence, define SLOs, monitor telemetry, lead incident responses, and conduct root-cause analyses. Mentor engineers, foster a culture of continuous learning, and document decisions through design docs and reviews. Basic Qualifications Bachelors degree in CS, Engineering, or equivalent experience; Masters preferred. 6+ years of professional Python development, including large-scale AI/ML systems. Experience with foundation-model APIs and AI tools like GitHub Copilot, Windsurf/Cursor, Claude Code. Cloud experience (GCP, AWS, Azure), containerization (Docker, Kubernetes), CI/CD pipelines. Leadership experience in setting technical direction and mentoring. Preferred Qualifications Expertise with LangChain, LangGraph, ADK, MCP, A2A, and multimodal model orchestration. Experience with next-gen AI coding agents/IDEs such as Cursor, Windsurf, Claude Code. Knowledge of GCP services, Terraform, GitHub Actions, Docker, Kubernetes. Understanding of data stores, streaming frameworks, distributed systems, observability, and SRE practices. Ability to turn research papers into prototypes and thrive in an AI-first culture. Self-starter with a passion for learning and innovation, customer-obsessed, inclusive, and candid. Please add a link in your rsum showcasing recent self-taught skills and why they excite you. Where were going UKG is on a growth trajectory, leading in workforce management and human capital management markets. Our AI-powered product portfolio aims to support diverse industries and geographies, driving future success. Equal Opportunity Employer UKG is committed to diversity and inclusion, evaluating applicants without regard to legally protected categories. We participate in E-Verify. For disability accommodations, contact UKGCareers@ukg.com. The pay range for this position is $126,300.00 to $181,550.00, with potential bonuses. Benefits details are available at UKG Careers Benefits. #J-18808-Ljbffr
Lead AI Software Engineer
role at
UKG At UKG, we are at the forefront of AI and generative AI innovation, transforming the HR/HCM industry with advanced AI-driven solutions that deliver exceptional user experiences. We are seeking a highly skilled and experienced Lead AI Engineer to join our team and contribute to the development of next-generation AI/GenAI solutions. This role offers an opportunity to work on impactful, high-scale SaaS products that serve enterprises and users globally. Responsibilities Lead architecture and delivery of cloud micro-services in Python with frameworks such as FastAPI, Streamlit, Gradio, and others. Own GenAI initiatives end-to-end, including data strategy, model selection, deployment, and optimization for various AI applications. Set engineering standards for reliability, security, performance, CI/CD, and observability; enforce through code reviews and mentoring. Drive cross-functional execution, scope epics, align roadmaps, and deliver features on time while mitigating risks. Champion production excellence, define SLOs, monitor telemetry, lead incident responses, and conduct root-cause analyses. Mentor engineers, foster a culture of continuous learning, and document decisions through design docs and reviews. Basic Qualifications Bachelors degree in CS, Engineering, or equivalent experience; Masters preferred. 6+ years of professional Python development, including large-scale AI/ML systems. Experience with foundation-model APIs and AI tools like GitHub Copilot, Windsurf/Cursor, Claude Code. Cloud experience (GCP, AWS, Azure), containerization (Docker, Kubernetes), CI/CD pipelines. Leadership experience in setting technical direction and mentoring. Preferred Qualifications Expertise with LangChain, LangGraph, ADK, MCP, A2A, and multimodal model orchestration. Experience with next-gen AI coding agents/IDEs such as Cursor, Windsurf, Claude Code. Knowledge of GCP services, Terraform, GitHub Actions, Docker, Kubernetes. Understanding of data stores, streaming frameworks, distributed systems, observability, and SRE practices. Ability to turn research papers into prototypes and thrive in an AI-first culture. Self-starter with a passion for learning and innovation, customer-obsessed, inclusive, and candid. Please add a link in your rsum showcasing recent self-taught skills and why they excite you. Where were going UKG is on a growth trajectory, leading in workforce management and human capital management markets. Our AI-powered product portfolio aims to support diverse industries and geographies, driving future success. Equal Opportunity Employer UKG is committed to diversity and inclusion, evaluating applicants without regard to legally protected categories. We participate in E-Verify. For disability accommodations, contact UKGCareers@ukg.com. The pay range for this position is $126,300.00 to $181,550.00, with potential bonuses. Benefits details are available at UKG Careers Benefits. #J-18808-Ljbffr