AI Technology Specialist

2 days ago

Anantapur, Andhra Pradesh, India beBeeInvestment Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
AI Technology Specialist - Investment Analysis

Job Overview:

TresVista seeks a highly motivated and adaptable AI Technology Specialist to join its Data Intelligence Group team. This role involves working 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.

Main Responsibilities:

  • Design, develop, test, and maintain software components and ML pipelines for automated investment analysis using LangChain/LangGraph.
  • 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.
  • Prompt engineering techniques for various LLM providers including Anthropic Claude, Google Gemini, and Open AI.
  • Develop scalable systems that can handle large-scale document processing during due diligence using Backend/FastAPI.
  • Implement secure authentication and data access controls for sensitive financial information.
  • Experience in Redis for caching and coordination in Cloud/GCP environment.

Required Skills and Qualifications:

  • Bachelor's degree in computer science, Engineering, or 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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