Principal Agentic AI Expert

Description

Key Responsibilities

• Lead the technical vision, architecture, and roadmap for Agentic AI platforms and systems.
• Design and implement advanced Agentic AI capabilities, including planning, multi-agent collaboration, memory, RAG, tool use, evaluation, and observability.
• Translate enterprise needs into scalable, production-ready AI solutions.
• Evaluate emerging Agentic AI technologies and research and drive their integration into openJiuwen.
• Provide hands-on technical leadership, from architecture and prototyping to implementation and optimization.
• Represent openJiuwen globally and help grow its developer and enterprise ecosystem.

Must Have

• Bachelor’s or Master’s degree in Computer Science, AI, Engineering, or a related field; Ph.D. is an advantage.
• 8+ years of software engineering and AI experience, with hands-on expertise in LLMs, Generative AI, and Agentic AI.
• Recognized expertise and leadership in Agentic AI, with significant contributions to Agent platforms, frameworks, or enterprise AI solutions.
• Ability to combine technical vision with hands-on execution, from architecture and prototyping to production.
• Proven experience architecting, building, and scaling production-grade Agentic AI platforms and systems.
• Deep expertise in reasoning and planning, memory, RAG, tool use, context engineering, multi-agent systems, evaluation, and observability.
• Strong expertise in Python, software architecture, distributed systems, cloud, APIs, and AI infrastructure.
• Strong technical leadership, presentation, and communication skills, with the ability to influence technology direction and represent openJiuwen globally.

Advantages

• Strong understanding of enterprise AI architecture, including reliability, security, scalability, performance, and cost efficiency.
• Experience with leading Agentic AI platforms, frameworks, and ecosystems, such as OpenAI Agents SDK, Claude ecosystem, OpenClaw, Hermes, or equivalent technologies.
• Experience leading or contributing to global open-source and developer communities.
• Demonstrated industry influence through conferences, publications, developer communities, enterprise engagements, research papers, patents, or advisory roles.
• Experience with Physical AI and embodied agent systems.