End User AI Tooling Developer

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.