Job Title

Senior Full Stack Software Engineer (AI) Client: International Real Estate Firm Location: Hybrid - Toronto, ON Duration: Fulltime, Perm On behalf of our client, Affinity is seeking a technical SME for AI product engineering who defines technical standards, patterns, and guardrails for AI product development. You will establish rapid POC cycles to validate feasibility and inform production architecture, and provides technical oversight of vendor-led production implementations. What Youll Do Establish POC Cycle (30%) Build repeatable POC process enabling team to validate technical feasibility in days before production investment Lead internal prototyping to prove concepts before production investment Create starter templates, reusable components, and AI patterns library (Skills, Agents, MCPs) Document learnings to inform production architecture and vendor direction Design Production Solutions & Set Vendor Direction (30%) Translate POC learnings into production architecture and technical specifications Design Azure integration patterns (AI Foundry, AI Search, ML, Fabric) Create detailed blueprints vendors execute from Define technical requirements: performance, security, scalability, monitoring Technical Oversight & Risk Management (25%) Review vendor code and architecture to manage production implementation risks Ensure vendor solutions align with POC findings and architectural vision Conduct architecture reviews and identify risks early Internalize knowledge to reduce vendor dependency Establish AI-Native Standards (15%) Define AI development standards, patterns, and guardrails Enable team to become AI-native (Claude Code, AI-assisted development) Evaluate and adopt emerging AI tools and frameworks Collaborate with UX on design system implementation for vendor use What It Takes Proven ability to architect and ship production RAG systemshands-on experience with chunking strategies, embeddings, vector databases, and reranking Familiarity with agentic patterns including MCP, function calling, tool use, and orchestration frameworks (e.g., LangGraph, Semantic Kernel) Understanding of LLM limitations and strong judgment on when AI is (and isnt) the right solution Exposure to function calling, tool use, and agent-to-agent interaction patterns in production or experimental settings Ability to establish repeatable processes and patterns that enable team velocityyou build systems, not just features Strong technical collaboration, code review, and documentation skills to guide vendors and internal teams Practical experience with cloud platforms and DevOps practices (Azure AI stack, CI/CD, Docker, Infrastructure as Code is a plus) Experience managing or providing technical oversight of vendor implementations is a plus Expected Top Skills Necessary 5+ years of full-stack development experience, including 1+ years building production AI/ML systems with LLMs Strong backend development skillsdesigning and building REST APIs, handling state management, and architecting scalable services Proven front-end expertise with React, Next.js, TypeScript, and Tailwind CSS, with practical experience building design systems and component libraries Understanding of Model Context Protocol (MCP) architecture how MCP servers expose tools and data to AI clients, and how standardized tool integration replaces custom point-to-point connectors in enterprise environments Base salary range $140K - $170K Affinity Earn: Know someone whos great for this, or any of our open roles? Earn up to $4,000/year for each successful referral through Affinity Earn. You can also earn up to $50,000 for helping us find new clients. Learn about our referral program at or browse our jobs & follow us at Affinity: Affinity Group is a technology and business consulting and services company. We believe in creating long term relationships between clients and consultants that foster a mutually beneficial partnership. Affinity is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment is decided on the basis of qualifications, merit and business need. For more information on Affinity, please visit Job Number: 13269