Senior Applied Researcher, LLM Agents

Responsibilities

• Build complex agentic systems featuring multi-agent coordination, long-horizon reasoning, and sophisticated planning frameworks.
• Develop full-scale solutions, including domain-specific enterprise agents spanning various use cases.
• Develop innovative AI capabilities to improve LLM agents in terms of efficiency, stability and more.
• Create modern techniques to improve agents' performance including multi agent search, post training and sophisticated evaluation pipeline.
• What We Need To See:
• BSc/MSc/PhD in CS/CE or related field (or equivalent experience)
• 8+ years in applied ML/AI or large-scale systems
• Proficient in Python; skilled in agentic frameworks, tool use, RAG pipelines, and model adaptation.
• Proficiency in LLM architecture building blocks.
• Excellence in communication and facilitation: aligning diverse collaborators, documenting decisions/assumptions, and influencing without authority.
• Proactive, independent, possessing strong analytical and problem-solving abilities; adept at handling uncertainty to provide practical, gradual benefits.
• Ways To Stand Out From The Crowd:
• Strong software development experience
• Experience with deploying agentic system at scale
• Proven research capabilities including publications, patents, blogs etc.
• Background in improving LLM efficiency and/or cost during inference.

Additional Information

We are looking for top-tier applied researchers or our AI Algorithms team to help us advance the future of agentic LLM technology. This is an outstanding opportunity to work at the forefront of innovation, where your contributions will have a global impact. At NVIDIA, you will collaborate with elite talents to develop solutions that push the boundaries of technology.

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Company Intel

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