End User AI Tooling Developer

Toronto, ON
On-site
Posted Oct 8, 2026
1 position

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Employment type: Contract
Experience level: Senior · 5+ years
Posting language: English
Working hours: 40 hours per week
Seniority: Mid-Senior level
Application method: Direct apply is available

Job summary

Build and maintain secure MCP connectors and a governed library of organization-specific Skills, including authentication, monitoring, documentation, lifecycle management, and testing. Establish data-exposure standards with security and governance partners, advise users on Claude and Enterprise ChatGPT, and support adoption through working sessions, office hours, and training materials.

Job details

Dawn InfoTek Inc. is a professional IT consulting firm that partners with major financial institutions, investment firms, and government organizations. We are committed to delivering cutting-edge IT consulting services and providing highly qualified talent for a wide range of technology positions. We are currently seeking a End User AI Tooling Developer to join our dynamic team and work with one of client. Title: End User AI Tooling Developer Contract Duration: ASAP to December 24, 2027 Overview This is a technical role on the AI team supporting our enterprise assistant platforms. The focus is on what connects those platforms to the organization's data and work: custom connectors to internal systems, a vetted library of Skills and prompt assets, the framework that governs how internal data is exposed, and hands-on support for the business users who depend on all of it. Core responsibilities Build and maintain custom MCP connectors that give approved assistants access to internal systems, choosing between organization-scoped remote connectors and locally run desktop extensions based on data sensitivity Implement authentication and authorization correctly: OAuth, per-user entitlements rather than shared service accounts, narrowly scoped tools, and read-only access by default Instrument connectors with logging and monitoring, and own their documentation, support, and iteration as source systems change Write, test, and maintain a vetted library of Skills that encode organization-specific procedures, templates, and domain knowledge (for example investment memo formats, model conventions, policy checklists) Own the Skills repository and lifecycle: version control, quality bar, review process, named ownership, deprecation, and controlled distribution to the right user groups Build evaluation and regression testing so Skills and connectors keep working as underlying models change Establish the reference architecture, security baseline, and approval path for exposing internal data through MCP, in partnership with Information Security, Data Governance, Privacy, and Legal Serve as the organization's hands-on expert in Claude (Desktop, Projects, Skills, connectors) and Enterprise ChatGPT (connectors, agent features), tracking releases and translating them into guidance on what to adopt and what to avoid Run office hours and working sessions for users across the investment and corporate divisions, helping them turn workflow problems into something buildable Partner with the AI adoption and training function, supplying the technical content, demos, and guardrails their curricula and superuser network depend on Other duties as required Qualifications More than 5 years of experience in a hands-on programming role, with strong Python and comfort in Git-based workflows and API integration work Direct experience building against LLM platforms, including tool use, agentic patterns, retrieval, and evaluation. MCP experience is a strong differentiator, though the protocol is new enough that adjacent integration experience can substitute Working fluency in enterprise security and identity concepts: OAuth, SSO, scoping and entitlements, data classification, audit logging Strong technical writing. A large part of this role is producing instructions that a model and a person both follow correctly Ability to work directly with investment and corporate professionals, and translate a workflow complaint into a buildable asset Financial services or other regulated-industry experience is an asset.

What you’ll do

Requirements

Requires more than five years of hands-on programming experience, strong Python skills, Git-based workflows, API integration experience, and direct work with LLM platforms, including tool use, agentic patterns, retrieval, and evaluation. Candidates should understand enterprise identity and security concepts, write clear technical documentation, and be able to translate business workflows into technical solutions; regulated-industry experience is an asset.