AI Engineer (Personalized & Proactive Agent)
Core
Building an LLM-based voice AI agent for Hyundai's new Grandeur that enables natural conversation for navigation, calls, and web search, with proactive personalization and context-aware responses.
Role type
Senior IC machine-learning engineer (agentic AI, personalization)
Builds
Production-grade voice AI agent system for in-vehicle use
Domain
Automotive + Generative AI / Agentic AI
Deliverable
production ML models
Required skills
LLM and Agentic AI principles, long-term memory and retrieval systems, context engineering and summarization, proactive agent experience design, offline evaluation and online A/B testing, Python or Kotlin development
Preferred skills
user modeling and recommendation systems, context-aware assistant development, feedback extraction pipelines, contextual bandit and sequential decision making, LLM mid/post-training, on-device and cloud AI integration, latency and cost optimization
Technologies
LLM, Python, Kotlin
Responsibilities
Build long-term memory, retrieval, and personalization systems with learning loops; design context engineering and summarization strategies under latency constraints; develop proactive agent experiences for recommendations and notifications; establish closed-loop evaluation systems using offline tests and A/B experiments; implement stable production capabilities by combining LLMs, ML/statistical models, and rule-based systems
Seniority
Senior, hands-on IC