Description

You will build enterprise-scale applications and LLM solutions for the financial services domain.

This role is on-site.

Responsibilities

• Design and develop componentized enterprise applications using Python and FastAPI.
• Implement Large Language Model (LLM) solutions, including Model Context Protocol (MCP) and Retrieval-Augmented Generation (RAG).
• Analyze code, identify vulnerabilities, and conduct testing and debugging.
• Consult with stakeholders to define system enhancements and recommend programming solutions.
• Provide technical guidance and act as a subject matter expert for senior stakeholders and team members.

Required Skills

• 5+ years of professional experience in applications development.
• Strong proficiency in Python and FastAPI.
• Hands-on experience with Large Language Models (LLMs).
• Practical knowledge of Model Context Protocol (MCP).
• Experience implementing Retrieval-Augmented Generation (RAG) architectures.
• Proficiency with PySpark for data processing.
• Ability to operate with autonomy and manage deadlines under pressure.

Preferred Skills

• Experience in the Financial Services industry.
• Bachelor's degree in a relevant field or equivalent experience.

Key Skills

Education

Any Graduate