Shopee
Senior Algorithm Engineer – Customer Service Chatbot (LLM)
Job Location
Singapore, MI, Singapore
Job Description
Senior Algorithm Engineer – Customer Service Chatbot (LLM) Join to apply for the Senior Algorithm Engineer – Customer Service Chatbot (LLM) role at Shopee Senior Algorithm Engineer – Customer Service Chatbot (LLM) 3 days ago Be among the first 25 applicants Join to apply for the Senior Algorithm Engineer – Customer Service Chatbot (LLM) role at Shopee Get AI-powered advice on this job and more exclusive features. About The Team We are the Customer Service Chatbot team at Shopee Singapore, dedicated to building multilingual, intelligent dialogue systems to serve a wide range of consumers and sellers. We focus on applying cutting-edge AI technologies such as Large Language Models (LLMs), Agents, and Reinforcement Learning (RL) to customer service scenarios, continuously enhancing interaction intelligence and user experience. We have successfully developed and deployed an efficient LLM-based chatbot system across multiple markets, significantly improving service quality and response efficiency. In the next phase, we will further explore Agentic Workflow–centric system architectures to evolve from traditional Question Answering to intelligent Agents capable of autonomous planning and execution, delivering more natural, intelligent, and efficient conversational experiences. Join us in shaping the next generation of intelligent customer service chatbots. Job Description Prompt engineering and response optimization Supervised fine-tuning (SFT) and alignment of LLMs Multi-turn dialogue context modeling and state tracking Agentic dialogue systems driven by workflow execution Retrieval-Augmented Generation (RAG) for Question Answering Reward model design and strategy optimization via reinforcement learning Agent framework design and implementation About The Team We are the Customer Service Chatbot team at Shopee Singapore, dedicated to building multilingual, intelligent dialogue systems to serve a wide range of consumers and sellers. We focus on applying cutting-edge AI technologies such as Large Language Models (LLMs), Agents, and Reinforcement Learning (RL) to customer service scenarios, continuously enhancing interaction intelligence and user experience. We have successfully developed and deployed an efficient LLM-based chatbot system across multiple markets, significantly improving service quality and response efficiency. In the next phase, we will further explore Agentic Workflow–centric system architectures to evolve from traditional Question Answering to intelligent Agents capable of autonomous planning and execution, delivering more natural, intelligent, and efficient conversational experiences. Join us in shaping the next generation of intelligent customer service chatbots. Job Description You will be involved in or lead the design and development of core algorithms for our chatbot systems, including but not limited to: Prompt engineering and response optimization Supervised fine-tuning (SFT) and alignment of LLMs Multi-turn dialogue context modeling and state tracking Agentic dialogue systems driven by workflow execution Retrieval-Augmented Generation (RAG) for Question Answering Reward model design and strategy optimization via reinforcement learning Agent framework design and implementation You will also work closely with product, business, operations, and engineering teams, participating throughout the full lifecycle—from problem definition and solution design to deployment and iteration—to ensure the effective and continuous improvement of algorithm solutions. Requirements Bachelor’s degree or above in Computer Science, Artificial Intelligence, Mathematics, or related fields Strong foundation in computer science, algorithms, and data structures Familiar with the theory and implementation of mainstream models in at least one of the following areas: NLP, LLMs, RL, Agent systems, or Multimodality Proficient in at least one programming language (e.g., Python, C++, Go) Experience with at least one deep learning framework (e.g., PyTorch, TensorFlow) Strong English communication skills and ability to work in a cross-functional, international team Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Information Technology Industries Software Development, Internet Marketplace Platforms, and Technology, Information and Internet Referrals increase your chances of interviewing at Shopee by 2x Sign in to set job alerts for “Algorithm Engineer” roles. 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Location: Singapore, Michigan, SG
Posted Date: 7/3/2025
Location: Singapore, Michigan, SG
Posted Date: 7/3/2025
Contact Information
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