Senior End User AI Tooling Developer with 5+ years of Python development experience to build AI inte
S.I. Systems Ltd.
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
#J-18808-Ljbffr
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
#J-18808-Ljbffr
Reference: WJ-3875_13617285