Artificial Intelligence Specialist

Agilus Work Solutions; Toronto; Hybrid; CAD 110,000 - 170,000; Full time

Job summary

Agilus Work Solutions in Toronto- Hybrid (3 days onsite) seeks a hands-on End User AI Tooling Developer to join enterprise AI team, focusing on connecting enterprise AI assistants to internal systems and building reusable AI capabilities.

You will work on Cloud Desktop and AI initiatives, applying Python, LLM/GenAI, and API integrations to turn real-world workflow challenges into scalable solutions for business users. Strong MCP experience is a differentiator.

Qualifications

• 7+ years of hands-on software development experience, with strong Python expertise.
• Experience with ChatGPT, Claude, AI platforms, plugins, connectors, or similar enterprise AI tooling.
• 3+ years experience with LLMs / Generative AI, including tool use, AI agents, agentic patterns, RAG/retrieval, and evaluation.
• 2+ years experience with MCP (Model Context Protocol) is highly preferred.
• 7+ years experience with APIs, integrations, Git, OAuth, SSO, authentication, authorization, and enterprise security concepts
• Understanding of data classification, entitlements, audit logging, and secure enterprise integrations
• Financial services or other regulated-industry experience is an asset.

Responsibilities

• Connect enterprise AI assistants to internal systems and build reusable AI capabilities.
• Support Cloud Desktop and AI initiatives within an enterprise AI team.
• Collaborate on APIs, integrations, retrieval, and evaluation to turn workflow challenges into scalable solutions.

Skills

Python development

LLMs / GenAI

AI agents

APIs / integrations

Tools

MCP (Model Context Protocol)

Job description

Hiring: End User AI Tooling Developer – AI / LLM / MCP

Location: Toronto- Hybrid (3 days onsite)

We are looking for a hands-on End User AI Tooling Developer to join an enterprise AI team supporting Cloud Desktop and AI initiatives. This is a highly technical role focused on connecting enterprise AI assistants to internal systems, building reusable AI capabilities, and helping business users turn real-world workflow challenges into scalable solutions.

The ideal candidate will bring strong Python development, practical LLM/GenAI experience, and experience working with AI agents, APIs, integrations, retrieval, and evaluation. Hands-on experience with MCP (Model Context Protocol) is a strong differentiator, but candidates with strong adjacent AI integration and software engineering experience are encouraged to apply.

Must Haves:

• 7+ years of hands-on software development experience, with strong Python expertise.
• Experience with ChatGPT, Claude, AI platforms, plugins, connectors, or similar enterprise AI tooling.
• 3+ years experience with LLMs / Generative AI, including tool use, AI agents, agentic patterns, RAG/retrieval, and evaluation.
• 2+ years experience with MCP (Model Context Protocol) is highly preferred.
• 7+ years experience with APIs, integrations, Git, OAuth, SSO, authentication, authorization, and enterprise security concepts.
• Understanding of data classification, entitlements, audit logging, and secure enterprise integrations.
• Financial services or other regulated-industry experience is an asset.