Data Scientist, LLM (AI Agent)

Binance; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

Binance seeks an AI Agent Developer to design, develop, and implement LLM-based systems for trading signals and investment strategies. The ideal candidate will have a strong technical background in computer science or related fields, with hands-on experience in agent frameworks. Join a leading blockchain ecosystem with exciting projects, opportunities for growth, and a competitive compensation package in a dynamic work environment.

Benefits

Competitive salary and benefits

Work-from-home arrangement

Opportunities for career growth

Innovative work environment

Qualifications

• Strong understanding of LLMs and experience with intelligent agents.
• Proficiency in mainstream open-source frameworks and knowledge retrieval systems.
• Experience with software engineering principles and client-server architectures.

Responsibilities

• Develop AI Agent systems focusing on architecture design and module development.
• Lead development for multi-agent coordination and contextual understanding.
• Optimize task completion and drive AI applications in trading and analysis.

Skills

LLM principles

Task Planning

Memory Management

Python

Java

Education

Bachelor's or Master's in Computer Science, Mathematics, Statistics, or Financial Engineering

Tools

LangChain

AutoGen

Milvus

FAISS

Job description

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 250 million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.

About the Role

This role sits at the intersection of quantitative finance, machine learning, and natural-language understanding. You’ll leverage NLU techniques—like sentiment and intent analysis—to mine news and social media for trading signals, build and mathematically refine predictive models, and rigorously backtest and optimize your strategies to drive data-driven investment decisions.

Responsibilities:

• Responsible for the architecture design and core module development of LLM-based AI Agent systems, including task planning, memory management, tool invocation, and workflow execution;
• Lead the development of a general-purpose Agent platform capable of multi-task coordination and multi-agent collaboration, enhancing the usability and stability of large models in complex business scenarios;
• Leverage key technologies such as LLMs, RAG, vector search, and function calling to build intelligent systems with contextual understanding and knowledge injection capabilities;
• Develop evaluation systems and automated testing tools for Agent behavior to continuously optimize task completion rate, response quality, and reliability;
• Drive the application of AI Agents in vertical scenarios such as search, trading, deep analysis, and automated data engineering to unlock the full value of LLMs.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, Financial Engineering or a related discipline
• Solid understanding of LLM principles (e.g., Transformers) and their application in Agent systems, with end-to-end experience in building and launching intelligent agents;
• Proficiency in at least two mainstream open-source Agent frameworks such as LangChain, AutoGen, LangGraph, ADK, LlamaIndex, Dify, CrewAI, or CAMEL, with a strong grasp of their internal architectures;
• Familiar with RAG (Retrieval-Augmented Generation) and capable of designing and optimizing knowledge retrieval systems; experience with vector databases like Milvus or FAISS is required;
• Experience implementing key Agent modules including Tool Use, Task Planning, Memory Management, and understanding their integration in real-world applications;
• Strong software engineering background, proficient in Python/Java, and familiar with client-server architectures and MCP-like communication protocols.

Why Binance

• Shape the future with the world’s leading blockchain ecosystem

• Collaborate with world-class talent in a user-centric global organization with a flat structure

• Tackle unique, fast-paced projects with autonomy in an innovative environment

• Thrive in a results-driven workplace with opportunities for career growth and continuous learning

• Competitive salary and company benefits

• Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)

Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.

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