AI Innovation Leader

6 days ago

Nellore, Andhra Pradesh, India beBeeData Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Artificial Intelligence EngineerThis 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.
  • Design, develop, test, and maintain 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.
  • Buid sophisticated multi-agent AI workflows for automated investment analysis using LangChain/LangGraph.
  • Apply prompt engineering techniques for various LLM providers including Anthropic Claude, Google Gemini, and Open AI.
  • Build scalable systems that can handle large-scale document processing during due diligence using Backend/FastAPI.
  • Develop FastAPI applications that serve AI-powered insights to investment teams.
  • Implement secure authentication and data access controls for sensitive financial information using Backend/FastAPI.
  • Experience in Redis for caching and coordination.

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.

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