
Data Engineer
3 weeks ago
Overview:
TresVista is looking to hire an Associate in its Data Intelligence Group team. This role is perfect for a candidate eager to learn and adapt to the evolving landscape of AI-powered financial solutions. You'll work on the development and deployment of cutting-edge technology that combines Large Language Models (LLMs), Agents, Knowledge Graph, and vector search in Cloud environment to revolutionize how we analyze investments, process due diligence documents, and extract insights from complex financial data.
Roles and Responsibilities:
Design, develop, test, and maintain the software components and ML pipelines
Implement core components including memory, routing, cache, feedback, and chains to enable our in-house AI agents
Collaborate cross-functionally with business, front-end, back-end and data teams
[LangChain/LangGraph] Build sophisticated multi-agent AI workflows for automated investment analysis
[LLM] Prompt engineering techniques for various LLM providers including Anthropic Claude, Google Gemini, and Open AI
[Backend/FastAPI] Build scalable systems that can handle large-scale document processing during due diligence
[Backend/FastAPI] Develop FastAPI applications that serve AI-powered insights to investment teams
[Backend/FastAPI] Implement secure authentication and data access controls for sensitive financial information
[Cloud/GCP] Experience in Redis for caching and coordination
(Nice to have) Familiarity with Pinecone vector search and Neo4j Knowledge Graph database
Prerequisites
Bachelor's degree in computer science, 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
Experience
2-5 years Education BTech/MTech/BE/ME/MBA in Analytics
Compensation
The compensation structure will be as per industry standard
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