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Binance, the world's largest cryptocurrency exchange by trading volume, is seeking an AI Engineer to build and deploy advanced AI-driven solutions for compliance and legal operations. This is a hands-on technical role focused on designing, implementing, and optimizing intelligent systems that enhance the efficiency and scalability of compliance workflows across the organization.
You will work closely with Legal, Compliance, and the Money Laundering Reporting Officer (MLRO) to support internal compliance policy reviews, file delivery, remediation tracking, and technical infrastructure. You'll track compliance requirements for new product and service launches, coordinating action items across stakeholders. Your core technical focus will be developing sophisticated AI systems leveraging large language models (LLMs), retrieval-augmented generation (RAG), agentic workflows, long-term memory, tool use, subagents, and multi-agent architectures to handle legal and compliance documents and workflows.
Key responsibilities include: designing and implementing production-grade RAG systems with advanced techniques such as Self-RAG, Corrective RAG, adaptive retrieval, and multi-hop reasoning; developing comprehensive benchmark frameworks and evaluation methodologies for legal and compliance AI systems, including dataset construction, annotation strategies, and performance measurement; continuously evaluating and improving systems across retrieval quality, latency, groundedness, factuality, and task success metrics; conducting independent research and rapidly prototyping solutions to ambiguous legal and compliance challenges; and supporting administrative and operational activities in accordance with compliance requirements.
This role offers autonomy in a fast-paced, innovative environment with a flat organizational structure. You'll collaborate with world-class talent across a global organization and have opportunities for career growth and continuous learning.
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 preferred to coordinate with overseas partners and stakeholders
