Senior Algorithm Engineer, Large Language Model (Customer Service Chatbot)
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:
Develop, fine-tune, and evaluate large language models. Build pipelines for data preprocessing, model training, inference, and monitoring. Implement prompt engineering, retrieval-augmented generation (RAG), and model alignment techniques. Optimize models for latency, accuracy, and cost across cloud or on-prem infrastructure. Integrate LLMs into production systems using APIs, vector databases, and orchestration frameworks. Analyze failure cases, conduct red-teaming, and improve model robustness and safety. Collaborate with product teams to design AI features and deliver reliable user-facing experiences.
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 communication skills and ability to work in a cross-functional, international 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:
Develop, fine-tune, and evaluate large language models. Build pipelines for data preprocessing, model training, inference, and monitoring. Implement prompt engineering, retrieval-augmented generation (RAG), and model alignment techniques. Optimize models for latency, accuracy, and cost across cloud or on-prem infrastructure. Integrate LLMs into production systems using APIs, vector databases, and orchestration frameworks. Analyze failure cases, conduct red-teaming, and improve model robustness and safety. Collaborate with product teams to design AI features and deliver reliable user-facing experiences.
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 communication skills and ability to work in a cross-functional, international team