Назад
2 месяца назад

AI Backend Engineer (Web3)

Формат работы
remote (только Hong_kong)
Тип работы
project
Грейд
trainee
Английский
b2
Страна
China
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
AI Backend Engineer (Web3): Developing agent runtimes, intent routing, and RAG systems for a global blockchain ecosystem with an accent on tool orchestration and evaluation. Focus on optimizing tool-call efficiency, building evaluation datasets, and ensuring system observability in a production LLM-app stack.

Location: Hong Kong (Work-from-home arrangement possible)

Company

Binance is a leading global blockchain ecosystem and the world’s largest cryptocurrency exchange by trading volume and registered users.

What you will do

  • Build and improve agent runtime components including intent routing, query rewrite, and RAG/FAQ answering.
  • Extend and optimize the Tool Server for web search, market data, and report APIs.
  • Create evaluation datasets and harnesses to measure routing accuracy and answer quality.
  • Implement observability via traces, metrics, and logging using Opik and Pinpoint.
  • Fix pipeline bugs and write integration tests with mock-LLM cassette replay.

Requirements

  • Current university student or recent graduate.
  • Strong Python skills and clean coding habits within a CI/CD environment.
  • Basic understanding of LLM applications, prompting, RAG, and tool calling.
  • Ability to debug across asynchronous services and write robust tests.
  • Availability for a sustained 3-6 month internship.

Nice to have

  • Experience with AgentScope, LangChain, or LlamaIndex.
  • Familiarity with vector search, embeddings, or LLM observability frameworks.
  • Exposure to Kafka, Redis, S3, Docker, or Kubernetes.
  • Interest in prompt-attack defense and latency/cost optimization.

Culture & Benefits

  • Opportunity to ship real features into a production AI agent used across the app.
  • Mentorship from senior Backend, Data Science, and Algorithm engineers.
  • Hands-on experience with a modern LLM-app stack including RAG and LLMOps.
  • Competitive salary and company benefits.
  • Flexible work-from-home arrangements depending on the business team.

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