
Superintelligence Lab - Tech Lead (Agentic Search, Staff / Principal Level)
LG AI Research1 month ago
Seoul, Korea, SouthStaff+
Responsibilities
- Set the technical vision and roadmap for end-to-end agentic search.
- Lead execution from foundational research through production deployment.
- Advance sparse, dense, and hybrid retrieval, reranking, and learning-to-retrieve systems.
- Co-design interfaces across search, memory, planning, tool use, and orchestration.
- Develop reinforcement learning and learning-based methods for search policies, routing, and orchestrator behavior.
- Build evaluations for retrieval, grounding, citations, tool use, and long-horizon task completion.
- Optimize quality, latency, throughput, reliability, and inference cost across the search stack.
- Provide technical leadership across Research, Engineering, Infrastructure, and Product.
- Mentor senior technical talent and raise architecture, research, and execution standards.
Requirements
- Deep expertise across the full search stack beyond dense retrieval.
- Experience building agentic systems, memory systems, or learned orchestrators.
- Experience applying reinforcement learning or sequential decision-making to search, agents, or tool use.
- Experience building end-to-end evaluation systems with offline evaluations, online experiments, and production telemetry.
- Experience scaling machine learning systems under demanding quality, latency, reliability, and cost constraints.
- Experience shipping research breakthroughs as reliable, production-grade capabilities.
- Experience leading high-impact technical programs across multiple teams and disciplines.
- Staff- or Principal-level technical judgment and a first-principles mindset.