Senior AI Engineer

Job Summary

We are looking AI Engineers for a strategic initiative to build Agentic AI use cases around Trading Surveillance.

Key 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

Requirements

Mandatory Skills

• Artificial Intelligence (AI)
• Minimum of 6 to 9 years of experience to implement the solution

Skills Required

• 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)
• AI Safety, Guardrails & Governance
• Enterprise Application Integration & AI Orchestration
• Semantic Modeling & Knowledge Graph Construction
• High-Scale Vector Database Management
• LLM Observability, Evaluation & Monitoring (LLMOps)

Main Technologies

• Python (FastAPI / Pydantic)
• LangChain & LangGraph
• Edio & Render (Deployment & Hosting)
• Streamlit & Gradio (UI/UX for AI)
• OpenAI & Open-Source Models (Llama 3, Mistral)
• Vector Databases (Pinecone, Milvus, Weaviate)
• Cloud Platforms: AWS Bedrock, Google Vertex AI, Azure AI Studio
• LLM Monitoring Tools (LangSmith / Arize Phoenix)

Nice-to-Have Skills

• Tesseract OCR