Back
Popular AI Engineer title plus broad GenAI and full-stack requirements increase applicant competition.
Requires HRIS integrations, employment-AI compliance, and HR domain knowledge reducing cross-industry portability.
Extensive mandatory tech stack, multiple framework proficiencies, and HR integration requirements enforce strict screening.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, and deploy end-to-end GenAI use cases and multi-step autonomous workflows across the HR hire-to-retire lifecycle.
Build full stack applications integrating AI models and agentic workflows with core HRIS/HCM systems, particularly Workday, to deliver tools for HR teams and employees.
Implement and maintain Retrieval-Augmented Generation pipelines, apply responsible AI practices, and ensure compliance with HR/employment AI regulations.
Proficiency in Python and at least two AI/agentic frameworks such as LangChain, LangGraph, or LlamaIndex.
Experience integrating LLMs with HRIS/HCM platforms via APIs or middleware; full stack development skills including React/Next.js or Angular frontend and Node.js or Python backend.
Work Experience Required: Not explicitly mentioned in the JD.
Familiarity with cloud platforms (Azure preferred), containerization (Docker, Kubernetes), CI/CD pipelines, and secure API design (OAuth2/OIDC, SAML SSO).
Experienced in architecting complex multi-step AI agent workflows with human-in-the-loop controls for HR use cases.
Demonstrated ability to translate HR business processes within hire-to-retire lifecycle into scalable technical AI solutions, including integration with major HCM/HRIS systems like Workday.
Skilled at implementing responsible AI design aligned with employment law and compliance requirements, working collaboratively with enterprise IT and governance teams.