Senior End User AI Tooling Developer with 5+ years of Python development experience to build AI integrations and MCP connectors using Python and enterprise LLM platforms

Senior End User AI Tooling Developer with 5+ years of Python development experience to build AI integrations and MCP connectors using Python and enterprise LLM platforms

Our financial services client is seeking a Senior End User AI Tooling Developer with 5+ years of Python development experience to build AI integrations and MCP connectors using Python and enterprise LLM platforms.

This technical role sits within the AI team and supports enterprise assistant platforms by connecting AI capabilities to internal systems, organizational data, and business workflows. The role combines hands‑on development with business enablement, with a focus on Python, LLM platforms, MCP connectors, AI Skills and tools, enterprise security, and supporting business users with AI adoption.

Contract, Toronto, Working Hours: EST

Hybrid: 3 times a week on site

Contract Duration: to December 24, 2027

Must Haves

• 5+ years of hands‑on Python development experience, with strong software engineering fundamentals
• Practical experience building with LLM/AI platforms, including tools, agents, retrieval, integrations, and APIs
• Experience with Git-based development workflows and API integrations
• Understanding of enterprise identity and security concepts including OAuth, SSO, access scoping, entitlements, and audit logging
• Strong technical writing and documentation skills, with the ability to explain technical solutions clearly to business and technical stakeholders
• Ability to work directly with business users to understand workflow challenges and translate them into buildable AI tools and solutions

Nice to Have

• Experience with Claude and/or Enterprise ChatGPT, including connectors, plugins, Skills, or agent capabilities
• Experience implementing AI agents and agentic workflows
• Experience within financial services or another regulated industry

Responsibilities

• Build and maintain custom MCP connectors and AI integrations that provide approved assistants with access to internal systems and data
• Develop solutions using Python, APIs, LLM platforms, and related AI technologies
• Build reusable libraries of AI tools, Skills, prompts, procedures, templates, and domain-specific assets for business users
• Add MCP layers and AI capabilities to existing internal solutions
• Implement authentication and authorization using OAuth, user‑level entitlements, scoped tools, and read‑only access controls
• Instrument connectors with appropriate logging and monitoring, and maintain documentation as source systems evolve
• Own the Skills repository lifecycle, including version control, quality standards, review, ownership, deprecation, and controlled distribution
• Build evaluation and regression testing to ensure Skills, tools, and connectors continue to perform as underlying AI models evolve
• Help establish the reference architecture, security baseline, and approval process for exposing internal data through MCP
• Serve as a hands‑on technical resource for Claude and Enterprise ChatGPT, evaluating new platform capabilities and providing guidance on appropriate adoption
• Work directly with business users through working sessions and office hours to turn workflow problems into practical AI solutions
• Partner with AI adoption and training teams by providing technical content, demonstrations, documentation, and guardrails

Senior End User AI Tooling Developer with 5+ years of Python development experience to build AI integrations and MCP connectors using Python and enterprise LLM platforms

Our financial services client is seeking a Senior End User AI Tooling Developer with 5+ years of Python development experience to build AI integrations and MCP connectors using Python and enterprise LLM platforms.

This technical role sits within the AI team and supports enterprise assistant platforms by connecting AI capabilities to internal systems, organizational data, and business workflows. The role combines hands‑on development with business enablement, with a focus on Python, LLM platforms, MCP connectors, AI Skills and tools, enterprise security, and supporting business users with AI adoption.

Contract, Toronto, Working Hours: EST

Hybrid: 3 times a week on site

Contract Duration: to December 24, 2027

Must Haves

• 5+ years of hands‑on Python development experience, with strong software engineering fundamentals
• Practical experience building with LLM/AI platforms, including tools, agents, retrieval, integrations, and APIs
• Experience with Git-based development workflows and API integrations
• Understanding of enterprise identity and security concepts including OAuth, SSO, access scoping, entitlements, and audit logging
• Strong technical writing and documentation skills, with the ability to explain technical solutions clearly to business and technical stakeholders
• Ability to work directly with business users to understand workflow challenges and translate them into buildable AI tools and solutions

Nice to Have

• Hands‑on MCP (Model Context Protocol) development or integration experience
• Experience with Claude and/or Enterprise ChatGPT, including connectors, plugins, Skills, or agent capabilities
• Experience implementing AI agents and agentic workflows
• Experience within financial services or another regulated industry

Responsibilities

• Build and maintain custom MCP connectors and AI integrations that provide approved assistants with access to internal systems and data
• Develop solutions using Python, APIs, LLM platforms, and related AI technologies
• Build reusable libraries of AI tools, Skills, prompts, procedures, templates, and domain‑specific assets for business users
• Add MCP layers and AI capabilities to existing internal solutions
• Implement authentication and authorization using OAuth, user‑level entitlements, scoped tools, and read‑only access controls
• Instrument connectors with appropriate logging and monitoring, and maintain documentation as source systems evolve
• Own the Skills repository lifecycle, including version control, quality standards, review, ownership, deprecation, and controlled distribution
• Build evaluation and regression testing to ensure Skills, tools, and connectors continue to perform as underlying AI models evolve
• Help establish the reference architecture, security baseline, and approval process for exposing internal data through MCP
• Serve as a hands‑on technical resource for Claude and Enterprise ChatGPT, evaluating new platform capabilities and providing guidance on appropriate adoption
• Work directly with business users through working sessions and office hours to turn workflow problems into practical AI solutions
• Partner with AI adoption and training teams by providing technical content, demonstrations, documentation, and guardrails