Software Engineer, AI Automation

What you'll do

• Turn business processes and edge cases into reusable agent skills, workflows, and MCP integrations.
• Define and build evaluations with business teams, then use results to guide deployment decisions.
• Deploy, monitor, and support production agents with appropriate permissions, human checkpoints, audit trails, rollback, and documentation.

What they ask for

• Substantial hands-on experience shipping LLM-backed applications, including prompting, tool use, agentic loops, and multi-step workflows; have shipped at least one agent used by non-engineers.
• Practical experience with MCP, skill or tool authoring, and orchestrating agents against real systems of record; experience building evaluation sets and using them to make decisions.
• Strong Python; comfortable with SQL and production data models.
• Fluent with agentic coding tools like Cursor; experience with Git, CI, containers, and deploying and maintaining software.

Nice to have

• Experience building or maintaining MCP servers; solutions engineering, professional services, internal tools, or startup founding experience.
• Working knowledge of Linear, Jira, Zendesk, Salesforce, or Snowflake; experience in insurance, fintech, or another regulated domain.

Pay

CAD 128,500/year up to CAD 160,600/year (base salary); CAD 115,600/year up to CAD 144,540/year (base salary)

Tools

LLMs, MCP, Python, SQL, Cursor, Git, CI, Linear

AI focus

Build, evaluate, deploy, and support LLM-powered agents that automate internal workflows, including authoring skills, integrating with systems of record through MCP, and setting production safeguards.