Senior Financial AI Engineer (Data & Knowledge Engineering)

Location: Asia; work-from-home arrangement, which may vary depending on the nature of the business team

Company

Binance operates a global blockchain ecosystem offering cryptocurrency trading, financial services, payments, institutional products, and Web3 solutions.

What you will do

• Build and operate production-grade AI data processing pipelines for financial announcements, news, reports, research, and earnings call text, tables, layouts, and audio/video.
• Develop layered financial knowledge bases containing source documents, structured facts, entities, events, full-text and vector indexes, relationships, and authorization metadata.
• Engineer production RAG services covering query processing, filtering, multi-route retrieval, reranking, context assembly, evidence citation, and result delivery.
• Design reusable processing and indexing frameworks supporting new sources, formats, languages, models, rules, incremental updates, backfills, deletions, and authorization expiry.
• Integrate LLMs, document understanding models, NLP models, rules, and algorithms with orchestration, version governance, failure handling, APIs, queues, caching, retries, and graceful degradation.
• Establish quality, observability, performance, stability, and cost controls while collaborating with data, algorithm, product, and compliance teams.

Requirements

• Master’s degree or above in Computer Science, Software Engineering, AI, or a related field, plus 5+ years of experience in backend, data platforms, ML engineering, or AI application engineering.
• Strong knowledge of equity markets, trading mechanics, market data, fundamentals, corporate actions, market events, and investor research workflows.
• Proficiency in Python and Java or another backend language, with solid software engineering, distributed systems, and service interface design skills.
• Production experience with LLM, NLP, or ML systems and with knowledge engineering or RAG pipelines.
• Understanding of structured, semi-structured, and unstructured content processing, full-text and vector search, chunking, indexing, filtering, reranking, citation, and permission control.
• Experience operating high-concurrency or large-scale systems with performance, stability, cost, observability, and reusable data-source adaptation capabilities.

Culture & Benefits

• Work-from-home arrangement, subject to the needs of the business team.
• Work with a global organization and a flat structure.
• Autonomy on fast-paced, innovative projects.
• Career growth and continuous learning opportunities.
• Competitive salary and company benefits.