Senior Financial AI Engineer, Data & Knowledge Engineering

🕒 December 30, 2025

🌐 Singapore, Taiwan, +1 more countries – Remote

🇸🇬 Singapore – Remote 🇹🇼 Taiwan – Remote 🇭🇰 Hong Kong – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 54%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Binance

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2017

₿ Crypto

💳 Fintech

💰 Initial Coin Offering on 2020-12

Crypto • Fintech

Binance is the world's leading cryptocurrency exchange, serving over 235 million registered users across more than 180 countries. The platform offers a wide array of services, including the trading of over 350 cryptocurrencies in Spot, Margin, and Futures markets. Users can also buy and sell crypto via Binance P2P, earn interest through Binance Earn, and engage in NFT trading on the Binance NFT marketplace. Binance provides low transaction fees and diverse payment options, making it a preferred choice for cryptocurrency enthusiasts worldwide.

📋 Description

• Own production-grade AI data processing pipelines for financial content, including text, table, layout, and audio/video processing • Perform chunking, deduplication, clustering, standardization, versioning, and result validation • Build layered financial knowledge bases managing source documents, structured facts, entities, events, full-text and vector indices, and relationship data • Maintain metadata including source, time, security, market, language, version, and authorization • Engineer and operate production RAG services, including query processing, permission and time filtering, multi-route retrieval, reranking, context assembly, evidence citation, and result return • Design extensible AI data processing, knowledge engineering, and indexing frameworks • Support incremental updates, index rebuilds, historical backfill, deletion, and authorization expiry • Integrate LLMs, document understanding models, NLP models, rule systems, and algorithm components into unified pipelines • Own APIs, async tasks, queues, caching, retries, graceful degradation, human review, canary releases, rollbacks, fault recovery, and capacity governance • Establish quality systems measuring parsing accuracy, retrieval coverage, citation completeness, staleness, latency, stability, and cost • Collaborate with data, algorithm, product, and compliance teams to deploy services reliably in user-facing equities products and Binance AI

🎯 Requirements

• Master’s degree or above in Computer Science, Software Engineering, AI, or a related field • 5+ years of experience in backend, data platforms, ML engineering, or AI application engineering • Familiarity with equity markets and investor research and decision-making workflows • Understanding of trading mechanics, market data, fundamentals, corporate actions, and major market events • Ability to assess entities, time sensitivity, sources, and usage boundaries of financial information • Proficient in Python and at least one of Java or another backend language • Solid software engineering, distributed systems, and service interface design skills • Production experience with LLMs, NLP, or ML systems • Ability to explain model invocation, task orchestration, failure recovery, version governance, and online issue resolution • Production experience with knowledge engineering or RAG systems • Familiarity with structured, semi-structured, and unstructured content processing • Ability to explain the full pipeline from source ingestion through retrieval, citation, and online feedback • Familiarity with full-text search, vector search, document storage, chunking, indexing, filtering, recall, reranking, context assembly, citation, and permission control • Experience with performance, stability, cost, and observability governance for high-concurrency or large-scale processing systems • Experience adapting new data sources or content types and distilling source-specific logic into reusable processing capabilities

🏖️ Benefits

• Competitive salary and company benefits • Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team) • Opportunities for career growth and continuous learning • Collaborate with world-class talent in a user-centric global organization with a flat structure • Autonomy in an innovative environment • Equal opportunity employer and diverse workforce