Artificial Intelligence Engineer

4 days ago


Aurangabad, Maharashtra, India beBeeData Full time ₹ 20,10,670 - ₹ 24,34,943
Job Title:

Data Scientist

About the Role:

We are seeking a skilled professional to develop and deploy cutting-edge technology that combines Large Language Models (LLMs), Agents, Knowledge Graph, and vector search in Cloud environment.

You will work on the development and deployment of sophisticated AI-powered financial solutions for investment analysis, due diligence document processing, and extracting 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.
  • Brew sophisticated multi-agent AI workflows for automated investment analysis using LangChain/LangGraph.
  • Develop prompt engineering techniques for various LLM providers.
  • Build scalable systems that can handle large-scale document processing during due diligence.
  • Develop 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.
  • Familiarity with Pinecone vector search and Neo4j Knowledge Graph database is a plus.
Requirements:
  • Bachelor's degree in computer science or equivalent.
  • 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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