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Added 28 mins ago
Senior Lead, Environmental Data Management
Glencore Canada
Sparwood, BC
$123,000 to $145,000 CAD / year
Full-time
Reporting to the Director, Aquatic Health & Sciences, the Senior Lead, Environmental Data Management leads a cross-disciplinary team of data management specialists to ensure EVR has the…
Added 57 mins ago
Technical Lead – IVR & Contact Center Applications
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Lead the design, development, implementation, and support of IVR and Contact Center applications.
Added 1 hour ago
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Solutions Designer – Senior - RQ11503
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Added 2 hours ago
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Added 3 hours ago
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Added 3 hours ago
Salesforce Technical Lead (Toronto, Hybrid)
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Toronto, ON
$120,000 to $135,000 USD / year
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$120 to $125 CAD / hour
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Added 6 hours ago
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Added 7 hours ago
Senior AI Developer
Stikeman Elliott
Toronto, ON
Full-time
…development and production delivery, with responsibility for technical leadership and mentoring within the…
Added 7 hours ago
Senior Software Engineer
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As a Senior Software Engineer, you will play a critical role in defining the architecture and technical vision for Supernova’s cloud-based Security-Based Lending (SBL) SaaS platform. You…

Stikeman Elliott

Senior AI Developer

Toronto, ON, M5L 1B9, Canada

Pay: $125,000 - $175,000 annually.
Job type: Full-time
Posting language: English
Posted: Sep 30, 2026

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Original job description

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.

Qualifications

Expert proficiency in Python, including asynchronous development, testing, and modern web frameworks such as FastAPI; working knowledge of TypeScript, Node.js, and front-end development.
Production experience with agentic AI, including modern agent frameworks, tool calling, orchestration, prompt and context engineering, and MCP servers.
Strong understanding of LLM security and retrieval, including prompt-injection and tool-misuse protections, least-privilege access, data isolation, vector search, embeddings and RAG.
Experience designing production applications and integrations using REST APIs, OAuth 2.0/OpenID Connect, SQL, vector stores, object storage and distributed caching.
Strong experience developing cloud applications on Microsoft Azure, including containers, Entra ID, managed identities, Key Vault, managed databases and API Management.
Advanced knowledge of GitHub and CI/CD, including code review, Actions, environments, secrets, testing and security controls.
Experience with production observability and AI-assisted development tools such as Claude Code, Cursor, GitHub Copilot or equivalent.
Strong technical documentation and communication skills.

Salary Range (Toronto Only):

$125,000 - $175,000 annually. The posted salary range reflects the expected compensation for this role. Final offers are determined based on relevant skills, qualifications, and experience.

The position is for an existing vacancy.

Stikeman Elliott is committed to accommodating people with disabilities as part of our hiring process. If you have special requirements, please advise Human Resources during the recruitment process.

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More about this job

Responsibilities

The Senior AI Developer will design, build, and deploy production-grade agentic AI applications and integrate them with the firm's core legal and business systems. This role also involves establishing engineering standards, mentoring team members, and ensuring the reliability and security of AI-driven workflows.

Requirements

Candidates must have at least five years of production software experience, including one year specifically with LLM-powered or agentic applications. Proficiency in Python, cloud infrastructure on Azure, and modern AI development frameworks is essential for this senior technical role.

Skills

Python
FastAPI
TypeScript
Node.js
Agentic AI
LLM
Claude Agent SDK
MCP Servers
Azure
OAuth 2.0
SQL
CI/CD
GitHub
System Architecture
Mentoring
Observability

Visa sponsorship

Not detected in the job text

Keywords

Senior AI Developer
Agentic AI
Claude Agent SDK
MCP Servers
Python
FastAPI
TypeScript
Node.js
Azure
Entra ID
OAuth 2.0
OpenID Connect
SQL
Vector Stores
CI/CD
GitHub Actions
LLM Security
RAG
System Architecture
API Management
Containerization
Observability
Mentoring
Legal Technology
Enterprise Data Platforms
Microsoft Graph
Prompt Engineering
Context Engineering
Distributed Caching
Software Supply Chain

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