Research Intern - Memory & Orchestration in Large Language Models
Core
Conducting hands-on research into systems for memory and orchestration of LLMs and multimodal models, including investigating new embedding techniques and developing advanced retrieval augmented generation systems.
Role type
Research Intern (Memory & Orchestration in LLMs)
Builds
Research prototypes and findings for memory/orchestration systems in LLMs and multimodal models
Domain
Artificial Intelligence / Large Language Models / Systems
Deliverable
research
Required skills
Python ecosystem, LLMs and prompt engineering, agentic systems and workflows
Responsibilities
Investigating new embedding techniques (graph embeddings, temporal changes), developing retrieval augmented generation systems, collaborating with interdisciplinary teams, presenting research findings
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