商汤AI LLM Development Lead

• Lead the architecture, design, and development of intelligent agent systems that integrate LLMs with real-world applications. • Drive full-stack engineering implementation, including backend services, API integration, database design, and task orchestration. • Select and optimize system components such as message queues, middleware, vector databases, and caching frameworks to meet performance and scalability targets. • Work closely with product and research teams to translate AI agent logic (e.g., tool-use, planning, reasoning) into robust, production-grade systems. • Take ownership of system performance tuning, including concurrency handling, throughput optimization, and service reliability. • Guide the team through best practices in code quality, CI/CD pipelines, and system observability. • Build and lead a team of engineers to deliver high-quality agent-driven applications from prototype to deployment.

• Drive business impact across multiple feature areas by defining success metrics, identifying long-term investment opportunities, and aligning with Microsoft’s AI strategy. • Own the roadmap for intelligent collaboration experiences, including Copilot integrations, and lead scenario walkthroughs and golden configuration development with partner teams. • Define and deliver feature sets that balance AI innovation with fundamentals like sync reliability, performance, and accessibility; facilitate usability reviews with customers and stakeholders. • Leverage AI tools and agents to accelerate product development workflows, improve decision-making, and model best practices as an AI-native PM. • Partner with engineering, design, and marketing to build and launch features at scale, including rollout plans, customer support strategies, and internal enablement. • Engage with customer communities, MVPs, and enterprise stakeholders to build trust, gather feedback, and identify opportunities for deprecation or iteration. • Collect performance metrics and form hypotheses to improve product quality and relevance, especially in areas with complex technical or compliance requirements.

1. Technical Solution Design & Implementation •Requirement Analysis: Deep dive into client needs, analyze business scenarios, and design customized LLM application solutions •Architecture Design: Create scalable, high-performance LLM application architectures including data processing pipelines and model integration strategies •Technical Validation: Build proof-of-concept (POC) to validate technical feasibility and demonstrate value •Deployment Execution: Lead on-site deployment, configuration optimization, and performance monitoring of LLM applications 2. Programming Development Requirements •Framework Mastery: Proficient in VLM, RAG, LangChain, and other AI frameworks for development •Vector Database Expertise: Skilled in designing and optimizing Milvus, Pinecone, and other vector databases •Prompt Engineering: Advanced prompt design and agent development skills to optimize model output quality •Integration Development: API integration capabilities for seamless LLM system integration •Deployment Tools: Familiarity with LLM application deployment frameworks 3. Client Interaction & Support •On-site Support: Provide professional technical support on client premises, quickly resolving technical challenges •Product Demonstrations: Conduct expert product demonstrations and technical presentations •Training Services: Deliver comprehensive training to client teams to enhance usage efficiency and satisfaction •Relationship Management: Establish and maintain strong client relationships as a trusted technical advisor 4. Agile Response & Project Management •Rapid Response: Timely resolution of client issues ensuring SLA compliance •Problem Diagnosis: Systematic troubleshooting of complex technical issues •Project Coordination: Collaborate with internal R&D, product, and sales teams to drive project success •Continuous Follow-up: Regular client check-ins to understand evolving needs and recommend upgrade solutions 5. Localization Adaptation & Compliance •Cultural Adaptation: Customize technical solutions to align with Hong Kong/Macau market characteristics and business practices •Multilingual Support: Provide technical support in Cantonese, English, and Mandarin •Compliance Assurance: Ensure technical solutions meet local regulations and industry standards •Market Insights: Collect market feedback to inform product iteration and strategic decisions

• Understand China researcher and developer communities, Analyzing the technical requirement, identify needle moving projects. • Bridge NVIDIA tools with communities' requirements, Promote NVIDIA tools, libraries, and SDK’s with China researcher and developer communities, ISV and Service Providers. • Deeply understand AI4S, AI teaching, Agentic AI, Physical AI workflows and LLM breakthroughs, evolving ecosystem and alliances, attending conferences, building a network of influencers, and tracking opportunities in progress. • Discover new workflows, identify blockers to ISV adoption, and report back to the product teams. • Drive early adoption of new products and support launch and go-to-market activities. • Collaborate with NVIDIA business development managers, solution architects, developer technology engineers, developer marketing, product teams to engage with customers and communities. • We make heavy use of conferencing tools, but some travel is required. You are empowered to find the best way to get your job done and make our partners successful.