AI Data Engineer

Overview

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.

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.