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Senior Financial AI Engineer (Data & Knowledge Engineering)

8 hours, 4 minutes ago
Taiwan, Hong Kong
Full-time
Senior
Data Engineer
Data Science and Analytics
Blockchain Java Machine Learning Python
Apply Now
Binance

Binance

Binance operates as a leading blockchain ecosystem and digital asset exchange, integrating digital technology with financial services to facilitate the trading and management of cryptocurrencies.

Capital Markets
5K-10K
Founded 2017
$10M raised
View All Jobs 240

Description

  • Own AI data processing pipelines for financial text, tables, layouts, and audio/video, including chunking, deduplication, clustering, standardization, versioning, and validation.
  • Build layered financial knowledge bases covering source documents, structured facts, entities, events, search indices, vectors, relationships, and metadata.
  • Engineer and operate production RAG services with query processing, filtering, retrieval, reranking, context assembly, evidence citation, and traceable results.
  • Design reusable processing, knowledge engineering, and indexing frameworks supporting new sources, formats, languages, models, rules, updates, backfills, deletions, and authorization expiry.
  • Integrate LLMs, document understanding, NLP models, rules, and algorithms through governed pipelines with orchestration and failure handling.
  • Develop operational capabilities including APIs, asynchronous tasks, queues, caching, retries, graceful degradation, human review, canary releases, rollbacks, and capacity governance.
  • Establish quality measurement for processing, knowledge, and RAG systems, including accuracy, retrieval coverage, citation completeness, freshness, latency, stability, and cost.
  • Collaborate with data, algorithm, product, and compliance teams to deploy reliable services in equities products and Binance AI.

Requirements

  • Master’s degree or higher in Computer Science, Software Engineering, AI, or a related field.
  • 5+ years of experience in backend engineering, data platforms, ML engineering, or AI application engineering.
  • Understanding of equity markets, trading mechanics, market data, fundamentals, corporate actions, investor research, and major market events.
  • Proficiency in Python and at least one of Java or another backend language, with strong distributed systems and service interface design skills.
  • Production experience with LLM, NLP, or ML systems, including orchestration, failure recovery, version governance, and incident resolution.
  • Production experience with knowledge engineering or RAG systems across structured, semi-structured, and unstructured content.
  • Familiarity with full-text search, vector search, document storage, chunking, indexing, filtering, recall, reranking, context assembly, citations, and permission controls.
  • Experience governing performance, stability, cost, and observability for high-concurrency or large-scale processing systems.
  • Experience adapting new data sources and content types into reusable processing capabilities.

Benefits

  • Competitive salary and company benefits.
  • Work-from-home arrangement, subject to business-team requirements.
  • Opportunities for career growth and continuous learning.
  • Autonomy on innovative, fast-paced projects.
  • Collaboration with global, world-class talent in a user-centric organization.

Interested in this position?

Apply directly on the company website

Apply Now

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