Role: Full Stack Engineer – Self-Service & Agentic Data Platform

Location:
Toronto, Ontario Duration: Fulltime Work Type: Hybrid: (3 days office, 2 days remote)
- Strong hands-on experience with Java, Spring Boot, Angular, React, REST APIs, and microservices architecture.
- Develop enterprise-grade self-service portals for data product discovery, onboarding, access, deployment, monitoring, and certification.
- Build responsive frontend applications, reusable UI components, and scalable backend services using client-approved technology standards.
- Develop integrations with Databricks, DataHub, Unity Catalog, and enterprise governance platforms.
- Experience implementing authentication, authorization, RBAC, approval workflows, and secure API integrations.
- Robust understanding of UI/UX design principles, enterprise application architecture, and reusable component development.
- Experience with Azure DevOps, Git,



CI/CD pipelines, automated testing, and deployment automation.
- Develop and integrate AI-powered conversational interfaces and agentic workflows to enable natural-language interaction with enterprise data products.
- Knowledge of Generative AI, LLMs, RAG, vector databases, knowledge graphs, ontologies, and frameworks such as LangChain or LangGraph.
- Experience integrating AI agents with backend APIs, enterprise metadata systems, and governed data access workflows.
- For Lead Engineers: Experience in solution architecture, technical design, code reviews, and guiding development teams.
- Good to have: Azure OpenAI, Azure AI Search, Neo4j, GraphRAG, and enterprise conversational AI solutions.

📌 Full Stack Engineer (Toronto)
🏢 TechDoQuest
📍 Toronto