Highly Skilled AI Financial Technologist

1 week ago

Mount Abu, Rajasthan, India beBeeDataEngineer Full time ₹ 12,00,000 - ₹ 25,00,000
Job Title: Data Engineer

Overview:

This role is ideal for a skilled professional 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.

Key Responsibilities:

  • 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.
  • Build sophisticated multi-agent AI workflows for automated investment analysis.
  • Prompt engineering techniques for various LLM providers including Anthropic Claude, Google Gemini, and Open AI.
  • Develop FastAPI applications that serve AI-powered insights to investment teams.
  • Implement secure authentication and data access controls for sensitive financial information.
  • Experience in Redis for caching and coordination.

Prerequisites:

  • Bachelor's degree in computer science or 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.

Requirements:

  • 2-5 years of education in BTech/MTech/BE/ME/MBA in Analytics.

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