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Senior Financial Technology Engineer

3 weeks ago


Agra, Uttar Pradesh, India beBeeDataEngineering Full time ₹ 60,00,000 - ₹ 1,20,00,000

**Data Engineering Opportunity:**

Are you an innovative and skilled individual looking to join a cutting-edge data intelligence group? We are seeking a talented Data Engineer to design, develop, and deploy sophisticated technology that combines Large Language Models, Agents, Knowledge Graphs, and vector search in Cloud environments.

The successful candidate will work on developing AI-powered financial solutions by creating scalable systems that can handle large-scale document processing during due diligence. This role is ideal for someone with strong programming fundamentals in Python, experience in software engineering or equivalent internship/coursework/projects involving data analysis, machine learning, or software development, and a genuine curiosity about AI technology and its applications in finance.

Key Responsibilities:

Design and develop 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 to create efficient workflows for automated investment analysis.

Develop 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.

Experience in Redis for caching and coordination.

Prerequisites:

Bachelor's degree in computer science or equivalent.

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.