Research on LLM Agent methodology, how to build better performance/low cost/stability agents;
Explore cutting-edge technologies related to LLM Agent engineering platform(AgentOps), covering areas such as RAG, Reasoning, Planning, Toolkits, Multi-Agents Coordination.
Construct a high-performance, cost-effective large-model agent service architecture that ensures high service availability.;
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Act as a technical expert in Agentic RAG, Agents & Agent Orchestration, Agent Harness Engineering and driving the exploration and adoption of emerging AI capabilities.
Prototype and develop GenAI-powered solutions across web, desktop, and digital workplace platforms, leveraging built-in AI capabilities and modern agent frameworks to accelerate business value realization.
Design, implement, and optimize agent ecosystems, including agent workflows, multi-agent collaboration, tool integration, memory management, retrieval systems, and orchestration patterns to support complex enterprise use cases.
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