Required Skill Set
• Build and deploy AI apps using Azure AI Foundry & Azure OpenAI for chatbots, copilots, Q&A, and document summarization.
• Conversational & Enterprise AI IntegrationIntegrate AI capabilities into enterprise systems through APIs and microservices.LangChain & LangGraph
• Expertise Develop LLM workflows using c hains, tools, retrievers, and graph-based orchestration for multi-step reasoning.
• Advanced Agentic Systems Implement tool-calling, multi-agent architectures (supervisor/worker), and manage conversation memory/context. RAG Pipeline Development
• Build retrieval-augmented generation solutions using Azure AI Search, embeddings, and enterprise data sources.
• NLP Engineering Design pipelines for text extraction, classification, summarization, entity recognition, and semantic search.
• Python AI Engineering Develop scalable Python services with async processing, APIs, and optimization for latency, cost, and token usage.
• Safety & Governance Implement guardrails, moderation, prompt validation, and evaluation frameworks to ensure accuracy and compliance.
• Cloud & DevOps (Azure)Deploy on Azure (App Service, Functions, AKS), integrate Entra ID, and support CI/CD, logging, and monitoring.
• Core Requirements & Domain Experience Good years experience, strong Python, Azure AI stack, LLM/RAG expertise; BFSI, MLOps/LLMOps, and Responsible AI are a plus.

Salary Range Format:
Base Salary Range: 90,000 CAD/Yr 120,000 CAD/Yr..

Hope this looks good. Please let me know if you would like us to include anything further.