Greenlight Consulting
Automation Engineer (RPA)
Toronto, Canada
Sponsorship not specified$110k-$140kDetected 22 days ago
JavaScriptPythonC#AzureDevOpsRESTLLMsAgentic AIAgileJiraPostmanAPI Testing
About the role
- The AI Automation Engineer is the execution layer of the Greenlight delivery pod.
- This is not a back-office development role.
- As AI agent-based automation grows alongside our RPA practice, this role requires genuine fluency across both - UiPath for process automation, and Claude-powered agent workflows for AI-driven solutions.
Responsibilities
- Build automation solutions in UiPath Studio - efficient, well-structured, maintainable, and easy to understand; scalability and reusability are not optional
- Develop and configure AI agent workflows using Anthropic's Claude API - integrating LLM components, defining tool use, and wiring agent logic into the broader automation pipeline
- Validate the AI-generated SDD before build begins - flag gaps, ambiguities, or technical constraints early rather than discovering them mid-sprint
- Create reusable components, activity libraries, assets, and queues via UiPath Orchestrator and Studio that raise the quality floor for every subsequent build
- Integrate automations with client systems - ERPs, CRMs, document management platforms, APIs - handling authentication, error handling, and edge cases the spec may not have fully anticipated
- Write and execute unit tests and pre-UAT test procedures - own quality before the client ever sees it
- Participate in UAT alongside the Automation Business Consultant - triaging defects, distinguishing genuine build issues from scope queries, and resolving assigned bugs with speed and quality
- Build, Configuration & Test
- Build and configure agents: define tool schemas, implement decision logic, handle multi-turn interactions, and ensure output formats match the finalized specifications
- Implement prompt-to-output pipelines - taking the prompt architecture designed and wiring it into the automation workflow reliably and testably
Requirements
- 3-7 years of hands-on development experience, with at least 2 years on UiPath a client-facing or professional services environment
- you have shipped something that uses an LLM in production
- Strong understanding of automation architecture: reusability patterns, exception handling frameworks, Orchestrator asset management, and queue-based processing
Nice to have
- Clear communicator - able to explain what you built, why it works, and what it can and can't won't do
- Experience working within agile delivery cycles - sprint-based development, backlog grooming, iterative releases
- Precision builder - your code is clean, documented, and maintainable
- Fast and focused - two-week sprints are real
- you scope your effort, hit your commits, and flag early when something is bigger than it looked
- UiPath Studio, Orchestrator, REFramework - proficient across the full development and deployment lifecycle
- Anthropic Claude API or OpenAI API - tool use, structured outputs, prompt chaining, output validation
- REST API integration - authentication patterns, error handling, payload management
Skills
- They know how an LLM will behave under pressure before they deploy it, because they tested it.
- They don't wait for UAT to find the edge cases - they find them first.
- And when something breaks in production, they are already diagnosing it before anyone has to ask.
- Our Process & Practices
- Use of AI in Hiring
Compensation
- The expected salary range for this role is $110,000 - $140,000 CAD annually, based on experience and qualifications.
- We're happy to discuss further in conversation.
Equal opportunity
- Greenlight is an equal opportunity employer. We believe in fair consideration for all candidates regardless of ethnicity, culture, sexual orientation, religion, age, gender, or disability status.
- Great Place to Work™
- Greenlight is a certified Great Place to Work™ - 98% score. We're proud of that and we work every day to keep earning it.
- Greenlight is an equal opportunity employer.
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This listing is sourced directly from Greenlight Consulting's careers page and normalized into a canonical job model.