Unlock the Power of AI-Powered Solutions

15 hours ago

Rajkot, Gujarat, India beBeeDataEngineer Full time ₹ 80,00,000 - ₹ 1,50,00,000
Unlock the Power of AI-Powered Solutions as a Data Engineer

TresVista's dynamic team seeks a talented Data Engineer to drive cutting-edge technology. This role offers an exceptional opportunity for individuals eager to learn and adapt in the rapidly evolving field of AI-powered financial solutions.

As a Data Engineer, you will play a pivotal role in designing, developing, testing, and maintaining software components and ML pipelines that empower our innovative approach. Our solution combines Large Language Models (LLMs), Agents, Knowledge Graphs, and vector search in Cloud environments to revolutionize investment analysis, due diligence document processing, and complex financial data extraction.

Key Responsibilities:

  • Design and develop software components and ML pipelines for our AI-driven solutions.
  • Implement core components including memory, routing, cache, feedback, and chains to empower our in-house AI agents.
  • Collaborate with cross-functional teams comprising business, front-end, back-end, and data specialists.
  • Build sophisticated multi-agent AI workflows for automated investment analysis using LangChain/LangGraph.
  • Promote engineering techniques for various LLM providers, including Anthropic Claude, Google Gemini, and Open AI.
  • Develop scalable FastAPI applications serving AI-powered insights to investment teams.
  • Implement secure authentication and data access controls for sensitive financial information.
  • Utilize Redis for caching and coordination in Cloud environments.

Requirements:

  • Bachelor's degree in Computer Science or related field.
  • 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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