Data Scientist, LLM (AI Agent)

🧠 Role Overview

Location: Thailand (Bangkok), Australia (Brisbane)

Compensation: $250K–$300K/year

Type: Full-time

Domains: AI Agents, Machine Learning, Web3, Quantitative Finance, Trading, NLP

🔍 Key Responsibilities

• Architect and develop LLM-based Agent systems (task planning, tool use, memory, etc.)
• Build a multi-agent platform for task coordination and business applications
• Apply advanced tech like RAG, vector search, function calling
• Develop testing tools to evaluate agent behavior and reliability
• Apply these systems to real use cases in trading, analytics, and data automation

✅ Requirements

• Degree in CS, Stats, Math, or Financial Engineering
• Deep knowledge of LLMs (e.g., Transformers) and intelligent agents
• Hands-on experience with 2+ agent frameworks, such as:
• LangChain
• AutoGen
• LangGraph
• ADK
• LlamaIndex
• Dify
• CrewAI
• CAMEL
• Expertise in RAG and vector DBs like Milvus or FAISS
• Strong Python/Java engineering skills, with understanding of tool use, memory management, MCP-style comms, etc.

🌍 Why Binance?

• Work with one of the top blockchain ecosystems globally
• Flat structure with autonomy
• Opportunity to build cutting-edge AI systems in real-world use cases
• Remote flexibility (based on team needs)
• Highly competitive comp and benefits

🧩 Ideal Candidate Profile

• You’ve built or contributed to end-to-end AI agents in production
• You’re comfortable switching between research (e.g., signal mining from text/social media) and engineering (scalable LLM architectures)
• You enjoy working at the intersection of AI, finance, and decentralized technologies