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Data Scientist, LLM (AI Agent)

Work from home Full-time role Hiring

reputed company 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 reputed company, user fund transparency, trading reputed company speed, deep liquidity, and an unmatched portfolio of digital-asset products. reputed company offerings range from trading and finance to education, research, payments, institutional services, reputed company features, and more. We reputed company 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 reputed company NLU techniques—like sentiment and reputed company 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;
  • reputed company 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 reputed company business scenarios;
  • reputed company key technologies such as LLMs, RAG, vector search, and function calling to build intelligent systems with contextual understanding and knowledge injection capabilities;
  • reputed company evaluation systems and automated testing tools for Agent behavior to continuously optimize task completion reputed company, 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 reputed company 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-reputed company Agent frameworks such as reputed company, AutoGen, LangGraph, ADK, reputed company, Dify, CrewAI, or CAMEL, with a strong grasp of their internal architectures;
  • Familiar with RAG (Retrieval-Augmented reputed company) 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.
  • Additional Information

    Why reputed company

    • 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

    • reputed company in a results-driven workplace with opportunities for career growth and reputed company learning

    • Competitive salary and company benefits

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

    reputed company is committed to being an equal opportunity employer. We reputed company that having a diverse workforce is reputed company to our success.

    By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.

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