Senior Applied Scientist, Agentic AI
Core
Research and develop advanced LLM-powered reasoning systems specialized in the real estate domain to enable AI agents to reason, plan, and act with professional judgment.
Role type
Senior Applied Scientist (Agentic AI / Reasoning)
Builds
High-value agentic capabilities requiring multi-step reasoning, structured synthesis, and tool-grounded execution for live customer experiences.
Domain
Real Estate / Agentic AI / Large Language Models
Deliverable
production ML models
Required skills
LLM reasoning, multi-step reasoning, test-time scaling, post-training techniques, rigorous experimental design, evaluation frameworks, high-impact research publication
Preferred skills
NLP, agent-based systems, multi-agent collaboration, ablation studies, qualitative and quantitative analysis
Technologies
LLMs, AI agents
Responsibilities
Design and prototype autonomous, context-aware agentic systems; apply scaling and training techniques for dynamic goal-driven environments; define evaluation processes for LLM applications; stay at forefront of agentic AI research; mentor junior scientists and engineers
Seniority
Senior, hands-on IC