Cloud AI Engineer

We are seeking a highly motivated and technically strong professional to support the intersection of Compliance, Legal, and AI-driven technology innovation. This role will work closely with the **Legal team, MLRO, Compliance, and cross-functional stakeholders** to enhance internal compliance processes, support policy and audit-related initiatives, and design intelligent systems that improve the efficiency and scalability of compliance and legal operations. The ideal candidate combines practical compliance or legal-tech experience with hands-on expertise in LLMs, RAG systems, and agentic AI architecture. This person should be comfortable operating in ambiguous environments, translating business and regulatory needs into technical solutions, and rapidly prototyping and deploying AI-native tools. 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. Why Binance Shape the future with the world’s leading blockchain ecosystem Collaborate with world-class talent in a user-centric global organization with a flat structure Tackle unique, fast-paced projects with autonomy in an innovative environment Thrive in a results-driven workplace with opportunities for career growth and continuous learning Competitive salary and company benefits Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team) Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success. By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.