We are seeking an AI Researcher to conduct research and development in Agentic AI, LLM Reasoning, Information Retrieval, Memory Systems, and Personalized AI Agents . The role focuses on designing, evaluating, and improving next-generation AI systems that combine retrieval, reasoning, memory, planning, and tool usage to solve complex real-world tasks.
Responsibilities - Research and develop agentic AI systems capable of multi-step reasoning, planning, and decision-making.
- Design and evaluate retrieval-augmented systems (RAG) , semantic search, memory architectures, and knowledge-based reasoning frameworks.
- Develop and benchmark multi-agent systems , tool-using agents, and autonomous workflows.
- Conduct scientific experimentation, ablation studies, benchmarking, and failure analysis on LLM systems.
- Research long-term memory, personalization, and adaptive learning mechanisms for AI agents.