Senior Applied Researcher, LLM Agents
Core
Designing and building complex agentic systems with multi-agent coordination, long-horizon reasoning, and sophisticated planning frameworks for enterprise use cases.
Role type
Senior Applied Researcher, LLM Agents
Builds
Full-scale domain-specific enterprise agents and innovative AI capabilities for LLM efficiency and stability.
Domain
Artificial Intelligence / Large Language Models / Agentic Systems
Deliverable
production ML models
Required skills
Python, agentic frameworks, tool use, RAG pipelines, model adaptation, LLM architecture building blocks, multi-agent search, post-training techniques, sophisticated evaluation pipelines
Preferred skills
Software development experience, deploying agentic systems at scale, research publications/patents, improving LLM inference efficiency and cost
Technologies
Python, agentic frameworks, RAG pipelines
Responsibilities
Build complex agentic systems featuring multi-agent coordination and long-horizon reasoning; Develop full-scale domain-specific enterprise agents; Create modern techniques to improve LLM agents' efficiency and stability; Develop innovative AI capabilities; Create sophisticated evaluation pipelines for agents
Seniority
Senior, hands-on IC
