商汤LLM Application Development Lead
任职要求
• Must be based in Riyadh; remote work is not supported. • 8+ years of software development experience, including 2+ years in dev lead roles. Proficient in one or more backend programming languages such as Python, Go, or Java. • Bachelor’s or Master’s degree in Computer Science, or a closely related field. • English communication skills (spoken and written) are required. • Strong experience in architecting and delivering c…
工作职责
• 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.
• Participate in the development of cutting-edge applications powered by Large Language Models (LLMs), contributing to code implementation, optimization, and debugging. • Collaborate with senior developers and product teams to understand user requirements and transform them into functional code modules. • Design, develop, and maintain LLM models within the team’s proprietary LLM framework. • Implement prompt engineering techniques, context management, and advanced model interaction as part of LLM application development. • Continuously learn and stay updated with the latest developments in LLM technologies, algorithms, and programming best practices. • Participate in code reviews, peer programming sessions, and technical discussions, growing your development skills. • Take part in technical problem-solving, performance optimization, and system debugging under the guidance of senior engineers.
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.
NVIDIA is leading company of AI computing. At NVIDIA, our employees are passionate about AI, HPC , VISUAL, GAMING. Our SA team is more focusing to bring NVIDIA new technology into difference industries. We help to design the architecture of AI computing platform, analysis the AI and HPC applications to deliver our value to customers. You will work closely with industry sales, developer relationship managers and product teams in the hiring position. What you’ll be doing: • Assist in supporting industry accounts and driving research/influencing/new business in those accounts. • Assist researchers/engineers on their GPU applications. • Deliver technical projects, demos and client support tasks as directed by the Solution Architecture leadership team. • Provide technical support for GPU system deployments. • Be an industry thought leader on integrating NVIDIA technology into applications built on Deep Learning, High Performance Data Analytics, Robotics, Signal Processing and other key applications. • Be an internal champion for Data Analytics, Machine Learning, and Cyber among the NVIDIA technical community.