Applied Scientist II- Recruiting AI Agents, Recruiting Agents & Candidate Voice
Core
Design and implement AI-powered agentic solutions to help candidates navigate Amazon's hiring process using conversational AI and LLMs.
Role type
Applied Scientist (Agentic AI & Conversational Systems)
Builds
Conversational AI agents for candidate guidance and job exploration
Domain
Talent Acquisition / People Science / Generative AI
Deliverable
production ML models
Required skills
LLM and GenAI technologies, agentic solution design, evaluation frameworks for model effectiveness, NLP, autonomous agent architectures, Java, C++, Python
Preferred skills
deep learning models architecture design, deep learning training and optimization, model pruning, professional software development
Technologies
LLM, GenAI, NLP
Responsibilities
Design and architect AI-powered agentic solutions for candidate navigation, Implement and deploy conversational AI agents, Develop rigorous evaluation frameworks for agent effectiveness, Collaborate cross-functionally to integrate solutions into candidate-facing platforms, Drive innovation in agentic AI research
Seniority
Mid-Senior, hands-on IC
