IT Product Manager (Mandarin Speaker)

J&T Cargo; Jakarta Pusat; On-site; IDR 240,000,000 - 420,000,000; Full time

Job summary

J&T Cargo is seeking an IT Product Manager who can design and drive AI agent solutions in a Mandarin-speaking capacity. You will lead product planning, orchestrate multi-agent workflows, and build LLM-based autonomous systems with tool use and memory management.

You will collaborate with engineering and business teams to iterate prototypes into production-ready solutions, translating complex processes into scalable workflows that empower our logistics platforms.

Qualifications

• Bachelor's degree or above in Computer Science, Artificial Intelligence, Software Engineering, or related fields
• Familiar with Prompt Engineering and multi-agent collaboration frameworks (e.g., LangGraph, CrewAI, AutoGen, etc.)
• Experience with at least one mainstream LLM API and understanding of Function Calling / Tool Use mechanisms

Responsibilities

• Lead the product planning and technical implementation of AI Agent solutions
• Design, orchestrate, and optimize multi-agent workflows
• Build autonomous agent systems based on large language models, including tool usage and memory management
• Collaborate with engineering teams to move agents from prototype to production
• Translate complex business processes into scalable agent workflows

Skills

Prompt Engineering

Multi-agent collaboration

System thinking

Communication

Teamwork

Education

Bachelor's degree in CS/AI/SE

Tools

LangGraph

CrewAI

AutoGen

OpenAI API

Function Calling

Job description

About the job IT Product Manager (Mandarin Speaker)

Job Description

• Lead the product planning and technical implementation of AI Agent (intelligent agent) solutions
• Design, orchestrate, and optimize multi-agent workflows (Agent Workflow)
• Build autonomous agent systems based on large language models, including core capabilities such as tool usage (Tool Use), memory management, and planning & reasoning
• Collaborate closely with engineering teams to drive the iteration of AI agents from prototype to production-level systems
• Translate complex business processes into scalable and executable agent workflows

Job Requirements

• Bachelor's degree or above in Computer Science, Artificial Intelligence, Software Engineering, or related fields
• Familiar with Prompt Engineering and multi-agent collaboration frameworks (e.g., LangGraph, CrewAI, AutoGen, etc.)
• Experience with at least one mainstream LLM API (e.g., OpenAI, Anthropic, Grok, Qwen, DeepSeek) and understanding of Function Calling / Tool Use mechanisms
• Proven experience in building complex agent workflows (e.g., multi-step task decomposition, tool integration, state management, memory systems) is highly preferred
• Strong system thinking and problem-solving skills, with the ability to break down complex processes into executable workflows
• Excellent communication and teamwork skills, able to collaborate effectively with product, engineering, and business teams