Job Description

Project Description:
We are looking AI Engineers for a strategic initiative to build Agentic AI use cases around Trading Surveillance.
Responsibilities:
Design, develop, and maintain full-stack Python applications with modern frontend frameworks
Build and optimize RAG (Retrieval-Augmented Generation) systems for AI applications
Create and implement efficient vector databases and knowledge stores
Develop APIs that connect frontend interfaces with backend AI services
Implement and maintain CI/CD pipelines for AI applications
Monitor application performance and troubleshoot issues in production
Mandatory Skills Description:
Minimum of 6 to 9 years of experience to implement the solution
Multi-Agent System Design & Orchestration
Full-stack AI Integration (Frontend to Backend)
Multi-Cloud AI Infrastructure (AWS Bedrock, Vertex AI, Azure AI, Snowflake Cortex)
Advanced Prompt Engineering & LLM Fine-tuning
Agentic Retrieval Augmented Generation (RAG...

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