Our client is building an AI Centre of Excellence focused on delivering enterprise-scale AI solutions that transform business operations. They are seeking a Lead Full Stack GenAI Developer who is passionate about building production-ready Generative AI applications from architecture through deployment. This is a highly technical, hands‑on engineering role.

The successful candidate will take solution designs and build scalable, secure, enterprise‑grade AI applications that solve real business problems. You’ll work closely with architects, business stakeholders, and cross‑functional teams to deliver end‑to‑end AI solutions that can be reused across the organization. Design, develop, and deploy enterprise‑grade Generative AI applications using the Microsoft Azure AI ecosystem.

Build scalable, reusable backend services and APIs using Python and object‑oriented programming principles. Develop modern, responsive frontend applications using React and TypeScript. Design and implement Retrieval‑Augmented Generation (RAG) solutions, AI agents, and multi‑agent systems.

Integrate AI solutions with enterprise platforms, databases, and business applications. Work directly with business stakeholders to gather requirements and translate them into production‑ready software. Develop modular, reusable components that can be leveraged across multiple AI initiatives.

Implement

GenAIOps practices including CI/CD pipelines, monitoring, evaluation frameworks, and operational governance. Collaborate with architects and technical leaders to evolve reusable AI platform capabilities.

Required Technical Skills

Programming & Full Stack Development Strong Object‑Oriented Programming (OOP)



principles React TypeScript Databricks Production deployment of Large Language Model (LLM) applications Agentic AI solutions DevOps & Operations Monitoring and observability AI evaluation frameworks Performance optimization Successful candidates will have experience delivering production AI solutions such as: AI‑powered document extraction and classification Agentic AI solutions Multi‑agent AI systems Policy and knowledge search solutions Document and data validation solutions AI solutions leveraging both structured and unstructured data Our client is building an AI Centre of Excellence focused on delivering enterprise‑scale AI solutions that transform business operations. They are seeking a Lead Full Stack GenAI Developer who is passionate about building production‑ready Generative AI applications from architecture through deployment. This is a highly technical, hands‑on engineering role.

The successful candidate will take solution designs and build scalable, secure, enterprise‑grade AI applications that solve real business problems. You’ll work closely with architects, business stakeholders, and cross‑functional teams to deliver end‑to‑end AI solutions that can be reused across the organization. Design, develop, and deploy enterprise‑grade Generative AI applications using the Microsoft Azure AI ecosystem.

Build scalable,



reusable backend services and APIs using Python and object‑oriented programming principles. Develop modern, responsive frontend applications using React and TypeScript. Design and implement Retrieval‑Augmented Generation (RAG) solutions, AI agents, and multi‑agent systems.

Integrate AI solutions with enterprise platforms, databases, and business applications. Work directly with business stakeholders to gather requirements and translate them into production‑ready software. Develop modular, reusable components that can be leveraged across multiple AI initiatives.

Implement

GenAIOps practices including CI/CD pipelines, monitoring, evaluation frameworks, and operational governance. Collaborate with architects and technical leaders to evolve reusable AI platform capabilities.

Required Technical Skills

Programming & Full Stack Development Expert‑level Python development Solid Object‑Oriented Programming (OOP) principles React TypeScript Microsoft Azure AI Ecosystem Azure AI Foundry Azure AI Search Azure Document Intelligence Azure SQL Azure Data Lake Storage (ADLS) Databricks AI Engineering Production deployment of Large Language Model (LLM) applications Agentic AI solutions DevOps & Operations AI CI/CD pipelines Monitoring and observability AI evaluation frameworks Performance optimization Successful candidates will have experience delivering production AI solutions such as: AI‑powered document extraction and classification Agentic AI solutions Multi‑agent AI systems Policy and knowledge search solutions Document and data validation solutions AI solutions leveraging both structured and unstructured data AI may be used in evaluating candidates.

📌 Lead Full Stack GenAI Developer (Toronto)
🏢 S.i. Systems
📍 Toronto