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) Other Languages English: C2 Proficient Seniority Senior