We are hiring on behalf of our client – a newly launched family office – who is seeking an AI Data Engineer with strong AI integration expertise to help operationalize their financial models and data infrastructure. This role focuses on implementing and connecting existing tools—not building models or infrastructure from scratch. You will play a key role in automating workflows, managing data systems, and enabling real-time data access to improve decision-making processes.

Key Responsibilities:

• Upgrade and manage enterprise API accounts across LLM providers (e.g., OpenAI, DeepSeek), with a focus on optimizing usage and cost.
• Automate orchestration of financial models using existing frameworks and tools (e.g., LangChain, Zapier).
• Migrate model documentation and data storage from mobile devices to cloud databases with version control.
• Build workflows to automatically combine multiple financial models (e.g., volatility, fundamental analysis) based on asset types and use cases.
• Integrate real-time financial data via Retrieval-Augmented Generation (RAG) systems to ensure model accuracy and relevance.

Qualifications:

• Proven experience in data engineering and integrating AI/LLM tools into operational systems.
• Strong knowledge of API management, automation tools, and cloud infrastructure.
• Familiarity with LangChain, vector databases, and orchestration platforms is highly desirable.
• Previous experience working with financial data or supporting quant teams is a strong advantage.
• Excellent problem-solving skills and a proactive, self-starting attitude.