Cloud AI Engineer
New
B
BinanceCompliance technology
Location: Argentina; Brazil; North Americas, Americas business hours, with a schedule that overlaps with our Legal, Compliance, and MLRO teams.Full-TimeSenior
Salary not disclosed
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Job Details
- Languages
- Bilingual English/Mandarin is a nice to have
- Experience
- 5 years of relevant experience
- Required Skills
- Prompt Engineering
Requirements
- Have 5 years of relevant experience in compliance technology, legal technology, regulatory technology, or software/application development supporting compliance or legal functions.
- Have a strong understanding of relevant compliance rules, regulations, and day-to-day compliance operations.
- Hold a bachelor’s degree in a relevant field, such as AI or Computer Science.
- Have hands-on experience building production RAG systems.
- Understand embeddings, vector databases, hybrid search, reranking, chunking strategies, text preprocessing, and multimodal parsing.
- Understand LLM and agent fundamentals, including prompt engineering, context engineering, memory, planning, tool use, MCP, and multi-agent systems.
- Be able to conduct independent research, solve ambiguous problems, and rapidly prototype practical solutions.
- Have strong written and verbal communication skills.
- Experience in a legal or compliance-related firm or domain is a nice to have.
- Experience with advanced Agentic RAG approaches such as Self-RAG, Corrective RAG, adaptive retrieval, and multi-hop reasoning workflows is a nice to have.
- Bilingual English/Mandarin is a nice to have.
Responsibilities
- Work with Legal, Compliance, and the MLRO on internal compliance policy reviews, file delivery, remediation tracking, and technical support.
- Track compliance-related requirements for new product and service launches and coordinate action items with relevant stakeholders.
- Identify, design, and implement AI-driven solutions for legal and compliance operations.
- Develop intelligent systems using LLMs, RAG, agentic workflows, long-term memory, tool use, subagents, and multi-agent architectures for handling law files.
- Build benchmark frameworks and evaluation methodologies, including dataset construction, annotation strategies, and performance measurement.
- Evaluate and improve systems across retrieval quality, latency, groundedness, factuality, and task success.
- Conduct independent research and rapidly prototype solutions for legal and compliance workflow challenges.
- Support related administrative and operational activities in accordance with company compliance requirements.
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