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

Shopee; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading e-commerce platform in Singapore seeks an experienced AI Engineer to develop core algorithms for chatbot systems. You will focus on enhancing dialogue systems using cutting-edge AI technologies like LLMs and reinforcement learning. The role requires a bachelor's degree in a related field and proficiency in programming languages such as Python or C++. Join us to redefine customer service interactions.

Qualifications

• Bachelor’s degree or above in Computer Science, Artificial Intelligence, Mathematics, or related fields.
• Strong foundation in computer science, algorithms, and data structures.
• Experience in NLP, LLMs, RL, Agent systems, or Multimodality.
• Proficient in Python, C++, or Go.
• Minimum 4 years of experience with a deep learning framework.
• Strong English communication skills.

Responsibilities

• Design and develop core algorithms for chatbot systems.
• Lead prompt engineering and response optimization.
• Fine-tune and align LLMs for improved performance.
• Model multi-turn dialogue context and state tracking.
• Implement agent frameworks and reward models.

Skills

Natural Language Processing (NLP)

Deep Learning Frameworks

Programming Languages (Python, C++, Go)

Reinforcement Learning (RL)

Multimodality

Cross-functional collaboration

Education

Bachelor’s degree in Computer Science, Artificial Intelligence, or Mathematics

Tools

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