Senior AI Engineer

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

SKILLS

Must have

• 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

Tesseract OCR (nice to have)