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

Shopee; Singapore; On-site; SGD 50,000 - 80,000; Full time

Job summary

A leading e-commerce platform in Singapore is seeking a talented individual to design and develop algorithms for intelligent chatbot systems. You will work on various aspects of AI technologies, including NLP and reinforcement learning. Ideal candidates should have a strong background in computer science and a bachelor's degree in a relevant field. This position offers an exciting opportunity to shape the future of customer service at an internationally recognized company.

Qualifications

• Bachelor’s degree or above in Computer Science, Artificial Intelligence, Mathematics, or related fields.
• Strong foundation in computer science, algorithms, and data structures.
• 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.

Responsibilities

• Design and develop core algorithms for chatbot systems.
• Engage in prompt engineering and response optimization.
• Work closely with cross-functional teams.
• Participate in the full lifecycle of algorithm solutions.

Skills

Computer Science fundamentals

Algorithms

Data Structures

NLP

Reinforcement Learning

Programming in Python

Deep Learning frameworks

Education

Bachelor’s degree in Computer Science

Artificial Intelligence

Mathematics

Tools

PyTorch

TensorFlow

LLMs

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)
• 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