Physics World is offering a Summer Internship Program that provides hands-on experience and community-building activities. The role involves conducting advanced research in LLMs and Generative AI, designing and prototyping LLM-based agents, and contributing to scalable production systems.
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