Principal Applied Scientist - CoreAI
Core
Developing LLM prompts, agents, and query execution workflows with tight latency constraints; incorporating state-of-the-art research into production techniques.
Role type
Principal Applied Scientist (LLM & Search)
Builds
LLM agents, query execution workflows, and experimentation infrastructure for search engine components.
Domain
Search engines, Large Language Models (LLM), Agentic AI
Deliverable
production ML models | product features
Required skills
LLM prompt engineering, agentic coding systems, long-running agent scaffolding, hybrid collaboration, task-specific metric definition, evaluation dataset construction, experimentation infrastructure development, product lifecycle management (ideation to shipping), technical excellence leadership, cross-functional collaboration.
Preferred skills
None explicitly stated.
Technologies
None explicitly stated.
Responsibilities
Develop LLM prompts and agents; build metrics for search engine components; incorporate customer feedback into dataset construction and technique development; lead technical excellence and contribute to experimentation infrastructure; nurture collaborative relationships with product management and engineers.
Seniority
Principal, hands-on IC with strategy & mentorship (via careerplan.io/jobs/1970393556918465-principal-applied-scientist-coreai-at-microsoft)
