Lead Full-Stack GenAI Developer (Contractor)

Toronto, ON
On-site
Posted Oct 1, 2026
1 position

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Employment type: Full-time
Experience level: Lead · 10+ years
Posting language: English
Working hours: 40 hours per week
Seniority: Mid-Senior level
Application method: Direct apply is available

Job summary

Lead hands-on development, integration, and deployment of enterprise GenAI and agentic AI applications, including Python services, APIs, retrieval systems, workflows, and React/TypeScript interfaces. Build evaluation and GenAIOps capabilities, integrate with enterprise platforms, standardize reusable engineering components, and mentor internal engineers.

Job details

About the Role We are seeking a Senior Lead Full-Stack GenAI Developer for a 6-month contract engagement to lead the end-to-end hands-on build, integration, and deployment of enterprise GenAI and Agentic AI applications. Partnering closely with our Principal AI Solution Architect, you will own the full-stack development—spanning backend Python services, frontend interfaces, retrieval pipelines, AI agents, enterprise integrations, and GenAIOps. Key Responsibilities Hands-on AI Implementation: Personally author and maintain production-grade Python microservices, custom APIs, retrieval (RAG) systems, and agentic workflows. Full-Stack Application Building: Create reviewer workbenches, operational dashboards, and user interfaces using React / TypeScript paired with backend-for-frontend APIs. Enterprise Integration: Seamlessly integrate AI services into enterprise data pipelines, APIs, databases, and platform ecosystems including Microsoft Azure, Databricks, and Microsoft Foundry. Evaluation & GenAIOps: Design automated evaluation test suites (RAG metrics, model latency, cost, groundedness) and establish CI/CD pipelines, Infrastructure-as-Code (IaC), containerization, and end-to-end telemetry. Reusable Capabilities & Mentorship: Standardize repeated delivery patterns into reusable SDKs, component libraries, and templates, while mentoring internal engineering team members. Requirements Required Qualifications Seniority & Experience: Proven track record as a Senior or Lead Engineer personally contributing code to production-deployed GenAI systems. Backend & AI Core: Deep Python proficiency, REST/GraphQL APIs, RAG architectures, vector databases, prompt engineering, agentic frameworks, and automated LLM evaluation practices. Frontend UI: Strong production skills in React and TypeScript. Cloud & Platform Ecosystems: Practical experience within Microsoft Azure (Azure OpenAI, Azure AI Search) and Databricks environments. Data & Ops: Proficiency in SQL, data engineering pipelines, CI/CD, Docker/containers, Infrastructure-as-Code, and runtime telemetry/monitoring. Important Candidate Note: Candidates focused primarily on prompt design, research notebooks, architectural oversight, project coordination, or generic web development without recent, hands-on production AI coding, enterprise integration, deployment automation, and production support will not be considered for this role.

What you’ll do

Requirements

Requires senior or lead-level experience personally coding production GenAI systems, with strong Python, API, RAG, vector database, agentic framework, and LLM evaluation expertise. Candidates must also have production React/TypeScript skills and practical experience with Azure, Databricks, SQL, data pipelines, CI/CD, containers, Infrastructure as Code, and telemetry.