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10 hours ago
We are seeking a skilled Data Engineer to join our team. As a key member of our Data Intelligence Group, you will play a crucial role in the development and deployment of cutting-edge AI-powered financial solutions.
Your primary responsibilities will include:
- Designing, developing, testing, and maintaining software components and ML pipelines
- Implementing core components for our in-house AI agents, including memory, routing, cache, feedback, and chains
- Collaborating with business, front-end, back-end, and data teams
- Building sophisticated multi-agent AI workflows for automated investment analysis using LangChain/LangGraph
- Applying prompt engineering techniques for various LLM providers, including Anthropic Claude, Google Gemini, and Open AI
- Developing scalable systems that handle large-scale document processing during due diligence using Backend/FastAPI
- Implementing secure authentication and data access controls for sensitive financial information
- Utilizing Redis for caching and coordination in Cloud/GCP environments
Nice-to-have skills include familiarity with Pinecone vector search and Neo4j Knowledge Graph database.
To be successful in this role, you will need:
- Bachelor's degree in Computer Science or Engineering and above
- Strong programming fundamentals in Python
- 2-5 years of professional experience in software engineering or equivalent internship/coursework/projects involving data analysis, machine learning, or software development
- Genuine curiosity about AI technology and its applications in finance
- Strong critical thinking and problem-solving skills
- Eagerness to learn new technologies and adapt to rapidly evolving tools
- Excellent communication skills for collaborating with investment professionals
- Detail-oriented approach to handling sensitive financial data
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