Senior AI Software Developer

Join the ranks of Stikeman Elliott, one of the most distinguished and respected corporate law firms in Canada. Our Toronto office is located in the heart of the financial district, with prime access to public transit, which makes it ideal for commuters. Voted one of the Best Employers in Canada for 15 years, Stikeman Elliott is always seeking to recruit the best and the brightest talents.

The Senior AI Software Developer will design, build, and deliver the firm’s AI applications, including production agentic systems using the Claude Agent SDK, MCP tool servers that connect AI agents to the firm’s systems of record, and reusable plugins and skills for legal and business workflows. This senior, hands-on role spans application architecture, development and production delivery, with responsibility for technical leadership and mentoring within the team.

Key Responsibilities

Application Architecture & Design

• Own application architecture, including service decomposition, data persistence, state and concurrency models, failure handling, and component interfaces.
• Build agent-facing capabilities as portable tool servers.

Agentic AI Development

• Build production applications using the Claude Agent SDK, including sub-agent delegation, skills, plugins, memory, scheduled and headless execution, and context engineering.
• Develop and maintain MCP servers and tool sets, including structured outputs, HTTP transport, and OAuth.
• Extend reusable plugins and skills that standardize the firm’s legal and business workflows.
• Design human-in-the-loop controls for high-risk agentic actions.

Prototyping, Delivery & Support

• Rapidly translate requirements into working MVPs for user feedback and iteration.
• Take prototypes through to production, ensuring reliability, scalability, observability, documentation, and security.
• Serve as the senior technical escalation point for AI applications.

Integration, Identity & Security

• Build integrations with the firm’s core systems, including document and email management, practice and matter management, time and billing, CRM, enterprise data platforms, and Microsoft Graph.
• Implement secure identity and access patterns, including OBO flows and managed identities, to appropriately constrain agent access.
• Address complex integration requirements, including authentication, session persistence, certificate trust, pagination, rate limits, and idempotency.

Engineering Standards, Code Review & Mentoring

• Establish engineering standards across AI repositories, including repository structure, branching, releases, code review, CI gates, environment promotion, and secrets management.
• Lead code reviews for AI applications and plugin contributions, while mentoring developers on engineering practices.
• Build and maintain CI/CD pipelines and strengthen the software supply chain in collaboration with Information Security through automated testing, code quality controls, security scanning, dependency management, and secure application credentials.

Experience Requirements

• Minimum of five years of experience designing and delivering production software, including at least one year working directly with LLM-powered or agentic applications in production.
• Demonstrated end-to-end ownership of production applications, from architecture and development through deployment and ongoing support.
• Proven ability to take solutions from prototype to production and make sound decisions about technical viability.
• Experience working as a senior technical contributor in a small, hands-on development environment.
• Experience mentoring developers and conducting formal code reviews.