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About the Role
Overview 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. Explore synthetic data generation, fine-tuning, and alignment techniques to ...
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. Explore synthetic data generation, fine-tuning, and alignment techniques to ...
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