Binance12.04.26
AI SCORE 8.5

Senior Large Language Model Engineer - Remote

$120K–$150K/year

About the Role

We are seeking a Senior Large Language Model Engineer to join our innovative team at Binance, the leading global blockchain ecosystem. This remote position offers the opportunity to work from anywhere while contributing to the world’s largest cryptocurrency exchange.

What You'll Do

  • 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.
  • Develop evaluation pipelines (automatic metrics & human feedback) to measure prompt and model quality, bias, and hallucination rates.
  • Collaborate with product and CS teams to integrate AI models into conversational Chatbot in different scenarios.
  • Track cutting-edge research, author tech blogs, and continuously improve current architecture.

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, etc.).
  • 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.

Nice to Have

  • Experience with cloud platforms such as AWS or Azure.
  • Familiarity with blockchain technology and its applications.
  • Previous work in a fast-paced startup environment.

What We Offer

  • Competitive salary and company benefits.
  • Work-from-home arrangement with flexible hours.
  • Opportunities for career growth and continuous learning.
  • Collaborate with world-class talent in a user-centric global organization.
  • Shape the future with the world’s leading blockchain ecosystem.
Language Requirements
EnglishC1
ChineseB2
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This role offers a unique opportunity to work with cutting-edge AI technologies in a fully remote environment at a leading blockchain company.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

Proficient in Python and experienced with libraries such as TensorFlow and PyTorch for developing and optimizing LLMs, along with a strong understanding of NLP techniques.

Self-motivated and disciplined to thrive in a remote work environment, capable of managing time effectively to meet project deadlines while collaborating with a distributed team.

Demonstrates a strong analytical mindset with hands-on experience in prompt engineering, enabling them to design effective prompts that enhance model performance in real-world applications.

Learning Resources

Deep Learning for Natural Language Processingcourse

Career Path

Senior Large Language Model Engineer(Now)Lead AI Engineer(2-4 years)Director of AI/ML(5-7 years)

Market Overview

Market Size 2024
$43B
Annual Growth
22.5%
AI Adoption in Enterprises
75%
Investment in AI Startups
+150%
Labour Demand for LLM Roles
+35%
Avg Salary for LLM Engineer
$150K

Skills & Requirements

Required
LLMNLPDeep Learning
Growing in Demand
Reinforcement LearningTransfer LearningData Annotation Techniques
Declining
Rule-Based SystemsTraditional Machine Learning Algorithms

Domain Trends

Increased Focus on Ethical AI
With 65% of companies prioritizing ethical guidelines for AI deployment, LLM engineers must integrate fairness and accountability into their models.
Rise of Multimodal Models
Multimodal AI systems, which process both text and images, are expected to surge by 40% in demand, necessitating LLM engineers to adapt their skills to these hybrid models.
Advancements in Prompt Engineering
The demand for expertise in prompt engineering is projected to grow by 50% as companies seek to optimize LLM outputs, making this a critical skill for engineers.

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