Staff / Principal Applied AI Researcher (Agentic Search)
NebiusAI Cloud company
RemoteLead
Nvidia
Data & AI
About the role
TL;DR
Lead applied AI research for an agent-native search platform.
- •Nebius is seeking a Staff or Principal Applied AI Researcher to build an agent-native search platform, serving as the web access layer for AI systems.
- •This role involves designing and implementing systems where AI agents actively plan, retrieve, evaluate, and refine information, replacing traditional search engines.
- •Key Responsibilities Drive applied research and technical direction across retrieval and ranking systems.
- •Design and evolve multi-stage retrieval architectures for agentic workflows.
- •Develop methods for grounding LLMs in real-time web data at scale.
- •Define and implement new evaluation paradigms for agentic systems.
- •Lead experimentation on modern retrieval approaches and bring them into production.
- •Requirements 8+ years of experience in applied AI, ML, or software engineering.
- •Proven track record of shipping ML or AI systems to production at scale.
- •Deep experience with search, retrieval, ranking, recommendation systems, or assistants.
- •Strong understanding of modern deep learning, especially transformers and embeddings.
- •Experience with LLM integrated or knowledge-intensive systems.
Required skills
PythonGoC++LLMsNLP
Domain expertise
aideveloper-tools
Benefits & perks
Competitive compensation, Career growth and learning opportunities, Flexibility and ownership, Collaborative and innovative culture, Opportunity to work on impactful AI projects, International environment and talented teams
Tech stack
PythonGoC++LLMsNLPREST APIgRPC
