Data Engineer

About TresVista

TresVista is a global enterprise whose business model is built to deliver enduring value. TresVista combines best practices, technology-enabled execution, and industry-leading talent to drive meaningful results. By integrating advisory capabilities with scalable delivery, TresVista helps clients operate smarter and grow stronger. TresVista’ s services include investment diligence, industry research, valuation, fund administration, accounting, and data analytics.

About Department :

The Data Intelligence Group is the Data & Analytics arm of TresVista. The department's sole objective is to provide analytical solutions and support to the clients so that they can take data-driven decisions. Broadly, we provide comprehensive solutions across Data Engineering, Data Visualization, Automation, and AI / ML- based solutions.

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