Data Insights Specialist

8 hours ago

Kolkata, West Bengal, India beBeeInvestment Full time ₹ 80,00,000 - ₹ 1,20,00,000
Investment Analysis AI Engineer

At our company, we seek a highly skilled and motivated Investment Analysis AI Engineer to join our Data Intelligence Group team. This role is ideal for an individual who is eager to learn and adapt to cutting-edge financial solutions.

As an Investment Analysis AI Engineer, you will work on developing and deploying innovative technology that combines Large Language Models (LLMs), Agents, Knowledge Graph, and vector search in Cloud environment to analyze investments, process due diligence documents, and extract insights from complex financial data.

Key Responsibilities:

  • Design, develop, test, and maintain software components and ML pipelines to drive business growth
  • 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 to drive project success
  • Build sophisticated multi-agent AI workflows for automated investment analysis using LangChain/LangGraph
  • 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
  • Serve AI-powered insights to investment teams using FastAPI applications
  • Implement secure authentication and data access controls for sensitive financial information
  • Experience with Redis for caching and coordination in Cloud/GCP environments

Requirements:

  • Bachelor's degree in computer science or Engineering
  • 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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