AI Agent Systems Engineer Intern

Shopee; Singapore; On-site; SGD 22,320 - 39,060; Full time

Job summary

Shopee is seeking a talented intern for their Intelligent Customer Service Chatbot team in Singapore. This role focuses on designing algorithms and agent systems that enhance multilingual customer interactions.

The ideal candidate will have a solid foundation in computer science, proficiency in programming languages, and familiarity with advanced machine learning techniques.

The position encourages both full-time and part-time applicants who can contribute to a collaborative environment.

Qualifications

• Pursuing a Bachelor's in CS, CE, or related field; Master's preferred.
• Proficient in at least one programming language (C++/Golang/Python/Java).
• Strong foundation in algorithms and data structures.
• Familiarity with NLP, LLMs, RL, Agent systems, or Multimodality.
• Experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
• Good communication and collaboration skills.
• Full-time interns preferred; part-time also welcome.

Responsibilities

• Design and develop core algorithms and agent systems.
• Engage in context engineering and multi-source context management.
• Collaborate across product, business, operations, and engineering.
• Participate in the full lifecycle from problem definition to deployment.

Skills

C++

Golang

Python

Java

Algorithms

Data Structures

NLP

LLMs

RL

Agent Systems

Deep Learning

Education

Bachelor's in Computer Science or related field

Master's in Computer Science or related majors

Tools

PyTorch

TensorFlow

MCP

Langfuse

Job description

Shopee is seeking a talented intern for their Intelligent Customer Service Chatbot team in Singapore. This role focuses on designing algorithms and agent systems that enhance multilingual customer interactions.

The ideal candidate will have a solid foundation in computer science, proficiency in programming languages, and familiarity with advanced machine learning techniques.

The position encourages both full-time and part-time applicants who can contribute to a collaborative environment.