AI Financial Large Language Model Application Engineer

15000 CNY~20000 CNY/Per month

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Beijing
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AI Financial Large Language Model Application Engineer(Building Next-Gen Intelligent Wealth Management Solutions) Company: TOP-Tier FinTech CompanyLocation: Beijing (on-site)Experience: Junior Level / Mid-Senior Level / Senior LevelType: Full-time The Opportunity We are seeking a visionary AI Application Engineer to architect next-generation financial advisory systems. As a core member of our AI R&D Center, you'll transform wealth management experiences through cutting-edge LLM implementations, directly impacting over 50M+ users. Key Responsibilities Precision Evaluation - Develop financial LLM evaluation frameworks with 15+ KPIs including risk prediction accuracy & compliance adherenceAB Experimentation - Design multi-variant testing protocols across 8+ model componentsDomain Optimization - Implement hybrid prompt engineering strategies combining Chain-of-Thought & Constitutional AI for regulatory complianceProduct Integration - Architect API bridges connecting AI chat with portfolio management systemsPerformance Benchmarking - Establish real-time monitoring dashboards tracking 20+ financial health indicators What We ValueMaster's/PhD in Computer Science, AI, or related fields (NLP/ML focus preferred)Technical Mastery: Proven success in deploying financial LLM solutions (BloombergGPT experience preferred)Proven expertise in Python/SQL with hands-on experienceDemonstrated AB testing expertise across model architecturesFinancial domain knowledge (CFA/FRM certification is a plus), and deep understanding of portfolio optimization algorithms and Robo-advisory systemsTrack record of delivering commercial AI projects from concept to deploymentAgile problem-solving skills with data-driven decision makingLanguage Proficiency - Professional proficiency in Mandarin & English Why Join Us?Lead industry-defining projects in AI-driven financeAccess to PB-level financial datasets and GPU clustersCompetitive compensation package with equity optionsContinuous learning budget Flexible work arrangements with global tech hubs Application ProcessSend
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