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Build production-ready full-stack apps from AI-generated prototypes using React/Vue, Supabase, and modern tooling like v0.dev and Figma.
Leads Agile teams as a Scrum Master, coaching members and facilitating sprints for digital solutions in a global agency setting.
Build agent-enabled apps and backend automation that turn metadata into governed, production-quality software using Python, FastAPI, React, and AI tools.
Senior full-stack engineer on an AI & Data Platform team, building agent-enabled applications, MCP servers, and backend automation that turn data catalogue/metadata into governed software. Primary stack: Python/FastAPI, React/TypeScript, LLM agent frameworks, and data tools like Snowflake, Databricks, Neo4j, and Supabase on AWS.
Principal Solutions Architect who owns the end-to-end architecture of a governed, zero-copy, cross-cloud data platform built on Databricks and Snowflake. Day to day they produce reference architectures and design standards, define catalog/metadata integration patterns, and design agent/MCP-based access to data products for enterprise AI, in a client-facing consulting context.
A senior data engineer who prepares enterprise domain data for AI agents: building domain-grounded data agents over governed datasets on Databricks and Snowflake, running lakehouse migrations to open formats like Apache Iceberg, and curating catalogue metadata for data contracts. Day to day is hands-on SQL/PySpark pipeline work plus close collaboration with business stakeholders in a hybrid Toront
A hands-on platform engineer supporting an enterprise AI assistant marketplace across Claude, Google Gemini, and Microsoft Copilot Studio: evaluating third-party connectors and MCPs for risk, tuning platform settings, building custom MCPs/integrations and multi-agent agents, and providing platform support. Requires 6+ years in software/platform engineering with recent LLM/AI-assistant platform wor
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