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
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
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