Description

Build and scale RAG-based AI applications and intelligent automation workflows for fraud detection and enterprise integration.

This role is on-site.

Responsibilities

• Design, build, and optimize RAG-based AI applications using LangChain and LangGraph.
• Develop AI-driven document insights and implement scalable AI/ML solutions for fraud detection.
• Create, optimize, and maintain prompts for LLM-based applications to ensure accuracy and efficiency.
• Integrate AI capabilities into enterprise applications and support continuous improvement of AI models.
• Implement AI fluency initiatives across business processes and collaborate with cross-functional teams.

Required Skills

• 5+ years of experience in software engineering or AI development.
• Strong proficiency in Python for backend development and AI workflows.
• Hands-on experience with LangChain and LangGraph for building LLM applications.
• Deep understanding of RAG (Retrieval-Augmented Generation) architecture and implementation.
• Experience with cloud platforms (AWS, Azure, or GCP) for deploying scalable solutions.
• Ability to analyze large datasets to identify patterns and anomalies in fraud detection.
• Bachelor's degree in Computer Science, Engineering, or a related technical field.

Key Skills

Education

Bachelor's degree