Expert Algorithm Engineer, Large Language Model (Customer Service Chatbot)

Shopee; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

A leading e-commerce platform in Singapore is seeking an experienced AI Engineer to develop intelligent customer service chatbots. You will design algorithms for natural language processing and work with cross-functional teams to optimize user interactions. Ideal candidates have a degree in Computer Science and at least four years of experience in deep learning frameworks like PyTorch or TensorFlow.

Qualifications

• Minimum 4 years of experience with at least one deep learning framework.
• Strong foundation in algorithms and data structures.
• Familiarity with NLP or related AI models.

Responsibilities

• Lead the design and development of core algorithms for chatbot systems.
• Optimize responses and fine-tune language models.
• Collaborate with product and engineering teams for continuous improvement.

Skills

Prompt engineering

Supervised fine-tuning

Natural Language Processing

Reinforcement Learning

State tracking

Cross-functional collaboration

Education

Bachelor’s degree in Computer Science or related fields

Tools

Python

PyTorch

TensorFlow

Job description

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)
• Minimum 4 years of 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