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Tier-1 brand, generalist Staff title, metro location, and broad AI/fullstack skillset increase competition.
Core full-stack and LLM integration skills are transferable, but HR domain and agentic requirements favor domain-specific experience.
Explicit 9+ years requirement plus mandatory full-stack, JS/Node/React and production AI integration increases filter strictness.
Design, build, and operate AI-driven conversational and agentic features for HR service delivery spanning employee lifecycle events and case management.
Author, version, and maintain AI instruction sets, guardrails, and escalation paths as engineering artifacts under source control and code review.
Lead automated evaluation and production monitoring of probabilistic AI behavior, ensuring correctness, security, and compliance across HR data and conversations.
9+ years software engineering experience including backend, frontend, or full stack.
Strong skills in JavaScript/Node.js, React, API integration, automated testing, and CI/CD pipeline management.
Hands-on experience with AI/GenAI or ML-driven features such as LLM prompting, NLU, conversational AI, and production AI integration with agent orchestration and tool calling.
Bachelor's degree in computer science, software engineering, or related technical field, or equivalent practical experience.
Experienced in integrating and operating AI features specifically targeting HR domain workflows with sensitivity to legal and access boundaries.
Skilled in building extensible, versioned AI-driven systems that customers can configure and extend safely on their instances.
Pragmatic engineer familiar with production-grade observability, evaluation tooling, and mentoring teams towards accountable AI delivery and resilient full-stack software.