Position Overview VStream Labs Inc. is seeking a hands-on AI Engineer – Agentic AI to design and deliver secure, production-ready AI applications, APIs, microservices, knowledge-graph capabilities, document-rendering workflows, and intelligent agentic systems. This remote contract requires strong software engineering, Azure integration, JVM and Python experience, AI evaluation, orchestration, governance, and production delivery.

Key Responsibilities
• Design, build, and deploy agentic AI solutions using LLMs, retrieval-augmented generation (RAG), memory, reasoning, prompt engineering, and human-in-the-loop patterns.
• Build backend services, REST APIs, and microservices using Node.js, Python, and JVM-based technologies.
• Develop and integrate knowledge graphs, entity and relationship models, graph-based retrieval, and GraphRAG capabilities.
• Build reliable document-generation and rendering pipelines, including HTML-to-PDF and comparable business-document transformations.
• Deploy and operate solutions using Azure App Service, Blob Storage, Key Vault, API Management, Entra ID, Azure OpenAI, and related cloud services.
• Implement OAuth 2.0 and OpenID Connect authentication and authorization.
• Integrate ServiceNow, Jira, Microsoft Graph, and other enterprise APIs.
• Evaluate AI systems using appropriate metrics and validation techniques; identify hallucinations, safety concerns, grounding issues, and model-performance risks.
• Implement workflow orchestration, observability, model monitoring, GitHub Actions, CI/CD, MLOps/LLMOps, and infrastructure as code.
• Apply secure engineering, responsible AI, governance, testing, and production-readiness practices. What You Need to Have to Be Considered
• 8+ years of experience in AI/ML, Data Science, or Software Engineering.
• Strong understanding of machine-learning algorithms,



evaluation metrics, and model-validation techniques.
• Expertise in Agentic AI concepts, including LLMs, RAG, memory, reasoning, and prompt engineering.
• Hands-on experience building AI solutions using OpenAI, Azure OpenAI, Anthropic, Gemini, or similar platforms.
• Solid Python experience and practical experience with LangChain, LangGraph, Semantic Kernel, LlamaIndex, or comparable frameworks.
• Hands-on experience with the JVM ecosystem and integrating JVM-based applications or services.
• Strong Node.js development, REST API, and microservices experience.
• Experience with Azure App Service, Blob Storage, Key Vault, API Management, and Entra ID.
• Experience implementing knowledge graphs, graph data models, graph-based retrieval, or GraphRAG.
• Experience implementing production document-rendering solutions, including HTML-to-PDF or comparable document-generation pipelines.
• Proven experience evaluating AI systems, detecting hallucinations, and measuring model performance.
• Knowledge of scalable architecture, workflow orchestration, AI governance, and secure enterprise integration.
• Experience deploying production AI solutions using MLOps/LLMOps practices.
• Experience with GitHub Actions, CI/CD, and Git branching strategies. These Will Help You Stand Out
• Experience with multi-agent systems and advanced orchestration frameworks.
• Cloud expertise in Azure, AWS, or Google Cloud.
• Knowledge of AI security, compliance, and responsible AI practices.
• Experience in regulated industries such as healthcare, insurance, or banking.
• Infrastructure-as-code experience.
• Relevant AI, ML, or cloud certifications. Work Arrangement
• Contract
• Remote within Canada
• Compensation range: CAD $50–$55 per hour + HST
• Occasional collaboration during standard Canadian business hours may be required.

📌 Artificial Intelligence Engineer (Toronto)
🏢 VStream Labs
📍 Toronto