LLM & Agentic AI Research Intern (Large Language Models)

HRL Laboratories is a pioneer in physical and information science, delivering transformative technologies in automotive, aerospace, and defense. The LLM & Agentic AI Research Intern will conduct advanced research in large language models and agentic AI systems, design and prototype LLM-based agents, and develop evaluation pipelines for these technologies.

Responsibilities:

• Conduct advanced research in LLMs, Generative AI, and agentic AI systems, staying current with rapidly evolving techniques such as tool-augmented reasoning, planning agents, and multi-agent collaboration
• Design and prototype LLM-based agents capable of reasoning, planning, tool invocation, memory management, and autonomous task execution
• Develop and optimize retrieval-augmented and tool-augmented generation pipelines (RAG, Graph-RAG, hybrid search, vector & symbolic retrieval)
• Build and evaluate end-to-end agent workflows, including orchestration, tool APIs, state tracking, and long-horizon planning
• Implement robust evaluation pipelines for LLMs and agents (offline evals, LLM-as-judge, human-in-the-loop evaluation, red-teaming, and safety validation)
• Experiment with open-source and frontier foundation models (e.g., Llama, Mistral, Claude, Gemini, GPT-class models) and efficient adaptation techniques
• Contribute to scalable production systems, including model serving, orchestration frameworks, observability, guardrails, and lifecycle management
• Participate in internal research reviews, technical deep dives, and code walkthroughs