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Could AI Engineer

Binance
Remote, USA
Mid · 5+ years experience
Remote
Discovered 1 months ago

Full Job Posting

Responsibilities

  • Work closely with Legal, Compliance, and the MLRO to support internal compliance policy reviews, files delivery, remediation tracking, and technical support.
  • Track compliance-related requirements for new product and service launches, and coordinate action items with relevant stakeholders.
  • Partner with Legal and Compliance teams to identify, design, and implement AI-driven solutions that improve the efficiency and scalability of compliance and legal operations.
  • Used the enhance intelligent systems leveraging LLMs, RAG, agentic workflows, long-term memory, tool use, subagents, and multi-agent architectures for handling law files.
  • Develop benchmark frameworks and evaluation methodologies for legal and compliance AI systems, including benchmark dataset construction, annotation strategy design, and performance measurement.
  • Continuously evaluate and improve systems across retrieval quality, latency, groundedness, factuality, and task success metrics.
  • Conduct independent research and rapidly prototype new ideas to solve ambiguous legal and compliance workflow challenges.
  • Support related administrative and operational activities in accordance with company compliance requirements.

Requirements

  • 5 years of relevant experience in compliance technology, legal technology, regulatory technology, or software/application development supporting compliance or legal functions.
  • Strong understanding of relevant compliance rules, regulations, and day-to-day compliance operations.
  • Bachelor’s degree required; background in AI, Computer Science, Engineering, Law, or related disciplines preferred.
  • Hands-on experience building production RAG systems, including embeddings, vector databases, hybrid search, reranking, chunking strategies, text preprocessing, and multimodal parsing.
  • Experience implementing advanced Agentic RAG approaches such as Self-RAG, Corrective RAG, adaptive retrieval, and multi-hop reasoning workflows.
  • Strong understanding of LLM and agent fundamentals, including prompt engineering, context engineering, memory, planning, tool use, MCP, and multi-agent systems.
  • Demonstrated ability to conduct independent research, solve ambiguous problems, and rapidly prototype practical solutions.
  • Strong written and verbal communication skills.
  • Bilingual English/Mandarin is preferred to be able to coordinate with overseas partners and stakeholders.

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