Solutions Architect

2 weeks ago

Nagpur, Maharashtra, India beBeeData Full time ₹ 18,00,000 - ₹ 30,00,000
Job Title: Data Engineer

 

As a key member of our team, you will be responsible for designing, developing, testing, and maintaining software components and ML pipelines. Your primary focus will be on implementing core components including memory, routing, cache, feedback, and chains to enable in-house AI agents.

 

  • Design, develop, test, and maintain software components and ML pipelines.
  • Implement core components including memory, routing, cache, feedback, and chains to enable 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 using LangChain/LangGraph.
  • Apply 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.
  • 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.
  • Nice to have: Familiarity with Pinecone vector search and Neo4j Knowledge Graph database.

 

Required Skills and Qualifications:

 

  • 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.

 

Benefits:

 

The compensation structure will be competitive and based on industry standards.

 

About You:

 

  • 2-5 years of experience in data analysis, machine learning, or software development.
  • Education: BTech/MTech/BE/ME/MBA in Analytics.

 

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