Job Title: AI Engineer Location: Toronto, ON---- Hybrid Skills: Natural Language Processing (NLP), Azure Machine Learning (ML)~AI & GenAI for BPS Experience Required: - Job Description: LLM Application Development Build and deploy AI apps using Azure AI Foundry & Azure OpenAI for chatbots, copilots, Q&A;, and document summarization.

Conversational & Enterprise AI Integration Integrate AI capabilities into enterprise systems through APIs and microservices.

Lang

Chain & Lang

Graph Expertise Develop LLM workflows using chains, 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 & Dev

Ops (Azure) Deploy on Azure (App Service, Functions, AKS), integrate Entra ID, and support CI/CD, logging, and monitoring.

Core Requirements & Domain Experience years experience, solid Python, Azure AI stack, LLM/RAG expertise; BFSI, MLOps/LLMOps, and Responsible AI are a plus.

📌 AI Engineer (Toronto)
🏢 eTeam
📍 Toronto