AI Engineer (Self-Evolving Agent)
Core
Design and evolve an LLM-based voice AI agent for Hyundai's new Grandeur vehicle, enabling natural conversation control for navigation, calls, and web search.
Role type
Senior IC AI Engineer (Agentic AI / Self-Evolving Systems)
Builds
Production-grade agentic AI architecture and execution runtime for in-vehicle voice assistants
Domain
Automotive / Agentic AI / LLM Orchestration
Deliverable
production ML models
Required skills
LLM and Agentic AI principles, Agent orchestration and tool/function calling, Memory-based personalization, Data flywheel construction, Python or Kotlin development, Safety risk and failure mode mitigation
Preferred skills
Self-improvement loop implementation, Agent evaluation and benchmarking (LLM-as-a-Judge), Multi-Agent/MCP/A2A systems, Prompt injection and tool-use safety, Latency/cost/reliability optimization, Research-to-production translation, Device-specific AI/LLM service design
Technologies
LLMs, Python, Kotlin, Agent frameworks
Responsibilities
Build a self-improvement loop to generate and refine skills, knowledge, strategies, and workflows from agent execution feedback; Connect interaction and execution traces to learning data for continuous validation in real vehicles; Design agentic AI architecture for complex task planning and orchestration; Implement research findings into production capabilities while addressing safety risks
Seniority
Senior, hands-on IC