Назад
3 дня назад

Cloud AI Engineer

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
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
Cloud AI Engineer (LLMs/RAG): Building intelligent systems for legal and compliance operations with an accent on production RAG, agentic workflows, evaluation frameworks, and regulatory technology. Focus on designing benchmark datasets, improving retrieval quality and factuality, and rapidly prototyping multi-agent solutions for ambiguous compliance and legal workflows.

Location: US; remote

Company

Binance is a global blockchain ecosystem offering cryptocurrency trading, financial services, payments, education, research, institutional services, and Web3 products.

What you will do

  • Support Legal, Compliance, and the MLRO with policy reviews, file delivery, remediation tracking, product-launch requirements, and operational activities.
  • Design and implement AI-driven solutions that improve the efficiency and scalability of legal and compliance operations.
  • Build and enhance intelligent systems using LLMs, RAG, agentic workflows, long-term memory, tool use, subagents, and multi-agent architectures.
  • Develop benchmark frameworks, datasets, annotation strategies, and evaluation methodologies for legal and compliance AI systems.
  • Measure and improve retrieval quality, latency, groundedness, factuality, and task success.
  • Conduct independent research and rapidly prototype solutions for ambiguous legal and compliance workflow challenges.

Requirements

  • 5 years of relevant experience in compliance technology, legal technology, regulatory technology, or software development supporting compliance or legal functions.
  • Strong understanding of compliance rules, regulations, and operational processes.
  • Bachelor’s degree required; AI, Computer Science, Engineering, Law, or a related background is preferred.
  • Hands-on experience building production RAG systems with embeddings, vector databases, hybrid search, reranking, chunking, text preprocessing, and multimodal parsing.
  • Experience with advanced Agentic RAG approaches, LLM fundamentals, prompt and context engineering, memory, planning, tool use, MCP, and multi-agent systems.
  • Strong written and verbal communication, independent research skills, and the ability to solve ambiguous problems and prototype practical solutions.

Nice to have

  • Bilingual English/Mandarin communication skills for coordination with overseas partners and stakeholders.

Culture & Benefits

  • Work-from-home arrangement, with the arrangement potentially varying according to business-team needs.
  • Competitive salary and company benefits.
  • Autonomous, fast-paced projects in a flat, results-driven organization.
  • Opportunities for career growth and continuous learning.
  • Collaboration with an international, user-centric organization.

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