LLM Data Scientist/Algorithm Engineer

Binance
Asia, New Zealand, Australia, Taiwan, Hong Kong, Japan, Switzerland
Workplace: RemoteFull timeFunction: Data Science & Machine LearningExperience: 2+ yearsEducation: mastersSkills: ["Prompt engineering","LLM","NLP","Multi-agent","RAG","Machine learning","Deep learning","Optimization","Inference"]

Lead end-to-end development of LLM-based systems, from data prep to production. Design and refine prompts, build RAG QA frameworks across knowledge bases, and deploy multi-agent LLM workflows. Collaborate with product/CS teams to integrate AI into chatbots, while evaluating model quality, bias, and safety across languages in a remote, globally distributed team.

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FursaFursa
Binance
Binance
3 years ago

LLM Data Scientist/Algorithm Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 20 hours agoStatus: Live

Job Summary

Lead end-to-end development of LLM-based systems, from data prep to production. Design and refine prompts, build RAG QA frameworks across knowledge bases, and deploy multi-agent LLM workflows. Collaborate with product/CS teams to integrate AI into chatbots, while evaluating model quality, bias, and safety across languages in a remote, globally distributed team.
Location: Asia, New Zealand, Australia, Taiwan, Hong Kong, Japan, Switzerland
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Own the full LLM pipeline from data preparation to production real case usage.
  • •Design, iterate and optimize prompts (zero-/few-shot, chain-of-thought, tool-calling, etc.) to maximize model utility and safety across products and languages.
  • •Build and maintain Retrieval-Augmented Generation (RAG) QA/search systems that connect to multi-source knowledge bases.
  • •Familiar with vLLM/SGLang inference architectures and have proven experience deploying and operating LLM services on multi‑GPU or cluster environments.
  • •Design, implement and operate multi‑agent LLM architectures (e.g. LangGraph, CrewAI, AutoGen) including task decomposition, agent orchestration, memory sharing and tool‑calling workflows.

Pay and Benefits

Perks:Remote Work

Key Requirements

  • •Master’s Degree or higher in Computer Science, Data Science or related field.
  • •At least 2 years of deep-learning/NLP experience, including 1+ year practical LLM work (SFT, DPO, RAG, quantization, inference optimization).
  • •Demonstrated prompt engineering & tuning expertise (few-shot design, structured prompting, prefix-/p-tuning, reward re-ranking, safety filtering).
  • •Practical experience building and deploying multi-agent LLM workflows, with understanding of agent-orchestrator patterns, shared memory, long-horizon planning and guard-rail design.
  • •Proficient in both English and Chinese communication for efficient cross team collaboration
Experience:2+ yearsAINLPLLMRAGMulti-agentPrompt engineering
Education:Master's
Skills:Prompt engineeringLLMNLPMulti-agentRAGMachine learningDeep learningOptimizationInference
Languages:EnglishChinese
Tech Stack:PythonPytorchCUDALLMRAGVLLMSGLangLangGraphCrewAIAutoGenAPI integration

Company Brief

Binance
Operates one of the world’s largest cryptocurrency exchanges, offering spot and derivatives trading, a native token (BNB), wallet services, staking, and a broad suite of crypto financial products and infrastructure.
Industry: Trading Platforms
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Valuation: Unicorn (USD 1B+)
Funding: Bootstrapped
Headquarters: George Town, Cayman Islands
Founded: 2017
WebsiteLinkedIn