商汤AI LLM Development Lead
任职要求
• Fluent in English (written and spoken). • Must be based in Riyadh; remote work is not supported. • Bachelor’s or Master’s degree from global top tier university, major in Computer Science, Artificial Intelligence, Software Engineering, or a related field. • 2 years of software development experience, including internships or personal projects. • Solid programming skills in Python/C++/Go or similar languages; familiar with Deep learning framework such as TF, Pytorch; with solid experience in algorithms and implementation complex coding tasks. • Participation in coding competitions (e.g., ACM ICPC, LeetCode contests) or hackathons is highly preferred. • Familiarity with LLM APIs, API development, basic prompt engineering, and model integration is an advantage. • Strong problem-solving skills, logical thinking, and a passion for technology and AI.
工作职责
• 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.
• 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.
• 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.
Design, training/evaluation, development/deployment of advanced models (LLM/MLLM/SLM) for ads content creation, ads performance optimization, and automated customer support. Apply strong problem-solving and data analysis skills to identify opportunities, optimize performance, and deliver measurable business impact.Stay up to date with the latest advancements in generative AI, LLM-driven agent, online advertisement, and make integration and improvement for our systems.Develop scalable and robust algorithms and pipelines for efficient model training, data processing, online serving and measurement.Collaborate with cross-functional teams, such as product managers and Infra/UI engineers, to define strategies and deliver solutions that enhance our systems.Present problems, insights, technical solutions, and results clearly to both technical and non-technical stakeholders.