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.

Key Responsibilities

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.

Ensure solutions meet enterprise standards for scalability, security, reliability, and maintainability.

Collaborate with architects and technical leaders to evolve reusable AI platform capabilities.

Required Technical Skills
Programming & Full Stack Development

Solid Object‑Oriented Programming (OOP) principles

React

TypeScript

REST API development and enterprise integrations

Databricks

Production deployment of Large Language Model (LLM) applications

Retrieval‑Augmented Generation (RAG)

Agentic AI solutions

Prompt engineering and orchestration

DevOps & Operations

GenAIOps

Monitoring and observability

AI evaluation frameworks





Performance optimization

Production support

What You’ll Build
Successful candidates will have experience delivering production AI solutions such as:

AI‑powered document extraction and classification

Retrieval‑Augmented Generation (RAG) applications

Enterprise Q&A; chatbots

Agentic AI solutions

Multi‑agent AI systems

Enterprise search platforms

Policy and knowledge search solutions

Decision support applications

Document and data validation solutions

HR and business process automation

AI solutions leveraging both structured and unstructured data

About the Opportunity
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.

Key Responsibilities

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.

Ensure solutions meet enterprise standards for scalability, security, reliability, and maintainability.

Collaborate with architects and technical leaders to evolve reusable AI platform capabilities.

Required Technical Skills
Programming & Full Stack Development

Expert‑level Python development

Strong Object‑Oriented Programming (OOP) principles

React

TypeScript

REST API development and enterprise integrations

Microsoft Azure AI Ecosystem

Azure AI Foundry

Azure OpenAI

Azure AI Search

Azure Document Intelligence

Azure SQL

Azure Cosmos DB

Azure Data Lake Storage (ADLS)

Databricks

AI Engineering

Production deployment of Large Language Model (LLM) applications

Retrieval‑Augmented Generation (RAG)

Agentic AI solutions

Multi‑agent architectures

Prompt engineering and orchestration

Enterprise search

Intelligent document processing

DevOps & Operations

GenAIOps

AI CI/CD pipelines

Monitoring and observability

AI evaluation frameworks

Performance optimization

Production support

What You’ll Build
Successful candidates will have experience delivering production AI solutions such as:

Intelligent Document Processing (IDP)

AI‑powered document extraction and classification

Enterprise knowledge assistants

Retrieval‑Augmented Generation (RAG) applications

Enterprise Q&A; chatbots

Agentic AI solutions

Multi‑agent AI systems

Enterprise search platforms

Policy and knowledge search solutions

Decision support applications

Document and data validation solutions

HR and business process automation

AI solutions leveraging both structured and unstructured data

Disclaimer:

AI may be used in evaluating candidates.

This posting is for an existing vacancy.
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📌 Lead Full Stack GenAI Developer (Ontario)
🏢 S.i. Systems
📍 Ontario