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Added 4 months ago
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Senior Portfolio Release Manager, Customer Growth
Priceline
Toronto, Ontario
- Full-time
Own and maintain the release calendar, working across product, engineering, QA, and operations teams to schedule and coordinate releases.
Added 4 months ago
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Dynamics 365 Developer - Power Platform
Endeavor4
Mississauga, Ontario
- $90,000 to $100,000 CAD / year
Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or equivalent practical experience.
Added 4 months ago
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Manager, Software Engineering (Service Cloud)
ARC'TERYX
Vancouver, British Columbia
- Full-time
As a Manager, Software Engineering, you will lead a high-performing team focused on enhancing the experience of our Guest Services organization and driving strategic outcomes for…
Added 4 months ago
GC
Automation Engineer (RPA)
Greenlight Consulting
Toronto, Ontario
- $110,000 to $140,000 CAD / year
…business value. We combine deep consulting expertise with hands-on engineering to bridge the gap between strategy and…
Added 4 months ago
GC
Automation Business Consultant (RPA+AI Projects)
Greenlight Consulting
Toronto, Ontario
- $100,000 to $130,000 CAD / year
…business value. We combine deep consulting expertise with hands-on engineering to bridge the gap between strategy and…
Added 4 months ago
Senior Systems Designer
SMART Technologies
Calgary, Alberta
Broad technical knowledge in a variety of disciplines, including Electrical Engineering, Firmware Development, Mechanical Design, Manufacturing Test, and Software Development.
Added 1 month ago
GS
SBT Content Software Engineer II
Guidewire Software
Remote, Canada
- Full-time
- Remote
Guidewire’s development team is looking for a smart, proactive, and results-oriented Software Engineer II to build elegant solutions for the property & casualty insurance industry’s…
Added 4 months ago
MI
Full Stack Developer
Magna International
Brampton, Ontario
- Full-time
The Full Stack Developer will work with the IoT architect, technical product owner and a team of developers (Sr full stack, software, IoT, data science) to ensure the efficient and…
Added 4 months ago
C
DevOps Developer
Caseware
Toronto, Ontario
- $125,000 to $140,000 CAD / year
- Full-time
4+ years in DevOps, Platform Engineering, SRE, or software engineering roles with strong operational ownership.
Added 2 months ago
Software Engineer - AutoSync
AutoTrader.ca
Toronto, ON
AutoSync is a suite of integrated software products built specifically for automotive dealers. Our platform includes a comprehensive set of solutions, including a CRM, dealership websites,…
Added 2 months ago
Engineering Lead- Global Payments Engineering
Scotiabank
Toronto, ON
Broad understanding of modern engineering practices, including APIs, microservices, event-driven architectures, and DevOps/CI-CD principles.
Added 4 months ago
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Americas Client Services Technology Lead
HSBC
Toronto, Ontario
- Full-time
Contributing to our global AI Technology enablement across engineering and the Software Development Life Cycle (SDLC) including product, business analysis / requirements. This will involve…
Added 4 months ago
OI
DevOps & Build Engineer
Offworld industries
New Westminster, British Columbia
- $95,000 to $120,000 CAD / year
- Full-time
We are seeking a versatile DevOps & Build Engineer to bridge the gap between our game development workflows and our infrastructure operations. In this role, you will be responsible for…
Added 4 months ago
TC
Oracle Application SaaS & PaaS Architect
The Citco Group Limited
Toronto, ON
- Full-time
Familiarity with CI/CD pipelines, DevOps practices, and infrastructure-as-code –
Added 4 months ago
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Senior Full Stack Developers
FCC / FAC
Regina, Saskatchewan · Alberta · British Columbia · Newfoundland and Labrador · Saskatchewan · Agriculture Place
- Full-time
…provide financing, knowledge resources and business management software to over 103,000 customers…
Added 4 months ago
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Engineering Manager, Software Development
Univeris
Toronto, Ontario
- Full-time
We are seeking a senior Engineering Manager to provide leadership across software development teams at Univeris. Reporting to the VP of Engineering, the Engineering Manager is a…
Added 4 months ago
Développeuse ou développeur backend sénior, Outils IA internes / Senior Backend Developer, Internal AI Tooling
Unity Technologies
Montreal, Quebec
Promouvoir et mettre en place les meilleures pratiques pour le développement, les tests, le déploiement et la surveillance des services dorsaux (DevOps, SRE).
Added 4 months ago
Site Reliability Engineer
LayerZero Labs
Vancouver, British Columbia
At LayerZero, our Site Reliability Engineering (SRE) team is at the intersection of software and systems engineering, dedicated to crafting and maintaining large-scale, resilient systems.…
Added 4 months ago
DevOps Developer
Octasic
Montreal, Quebec
The DevOps Developer is responsible for bridging the gap between software development and IT operations by automating, optimizing, and securing the software delivery lifecycle. This role…
Added 4 months ago
Digital Architect
Government of Alberta
Edmonton, Alberta
Within DDD, the Software Delivery Branch provides architectural leadership, CloudOps, DevOps/QA practices, quality engineering, and software delivery excellence across product and platform…
Added 4 months ago
Site Reliability Engineer
TextNow, Inc.
Waterloo, Ontario
Collaboration & Cross-Team Engagement: Work closely with software engineers, DevOps, and product teams to align technical efforts with business objectives and improve system reliability…
Added 5 months ago
CS
DevOps Engineer - New Grad 2026
Cerebras Systems
Remote, Canada
- Full-time
- Remote
You will develop and maintain the infrastructure required to build, test, operate, simulate, and evaluate the Cerebras software stack. As a DevOps engineer, you will be responsible for…
Added 4 months ago
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Specialist – Tools & Infrastructure Reliability (March of Giants)
Ubisoft
Montreal, Quebec
- Full-time
University degree in Computer Science, Computer Engineering, or any relevant field.
Added 4 months ago
PG
Sr Mgr, Technical Program Management
Paymentus Group Inc
Ontario
- Full-time
This role bridges Product, Engineering, QA, DevOps, Implementation, Account Management, Compliance, and senior leadership to ensure product commitments are prioritized, planned, executed,…
Added 1 month ago
M
Senior Software Developer - Health Systems Integration (HL7, FHIR)
Medfar
Montreal, QC
- Full-time
As a Senior Software Developer - Healthcare systems integration profile, you will be a key member of our interoperability team and will work to design, implement, and maintain system…

Greenlight Consulting

Automation Engineer (RPA)

Toronto, ON, Canada

$110,000 to $140,000 CAD / year

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Job details

Pay: $110,000 to $140,000 CAD / year
Posting language: English
Posted: Jun 23, 2026

Original job description

Greenlight helps organizations solve complex business challenges through intelligent automation, agentic AI, and custom technology solutions. Our teams work directly with clients to understand their operations, identify opportunities, and rapidly build solutions that create measurable business value. We combine deep consulting expertise with hands-on engineering to bridge the gap between strategy and execution.

We’re building a future where consultants and engineers work alongside AI to deliver faster outcomes, stronger businesses, and transformative customer experiences. We use Anthropic’s Claude as a core delivery tool - embedded in how we design, build, and validate automation solutions - and this role works inside that environment every day.

What makes a star at Greenlight?

Builder’s mindset: you are not satisfied until it works cleanly, scales properly, and is reusable
Technically restless: you stay current because the space moves fast and you want to be ahead of it
Hands-on with AI - you have worked with LLMs, understand their behaviour, and think about how to build against them, not just with them
Clear communicator - able to explain what you built, why it works, and what it can and can’t won’t do
Ownership mindset - the build is yours until it’s live and stable

The Role

The AI Automation Engineer is the execution layer of the Greenlight delivery pod. You take a signed-off Solution Design Document and build it - cleanly, efficiently, and to a standard that holds up in production. This is not a back-office development role. You work in a lean, fast-moving pod alongside an Automation Business Consultant who owns the process logic and AI specifications, and an AI Delivery Engagement Manager who owns the client.

Your job is to build what the spec says, flag what the spec missed, and close the gap between design and working software in two-week sprints.

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. The developer who thrives here is comfortable in both worlds and curious about where they intersect.

At a Glance

Works Closely With	AI Engagement Manager, Automation Business Consultant, RPA Engineers
Client Interaction	UAT support, technical walkthroughs, go-live
Platform Focus	UiPath, Anthropic Claude / AI Agents, Microsoft Power Platform etc.
Seniority	Mid-to-Senior (3–7 years relevant experience)
Location	Onshore Canada - GTA preferred
Engagement Type	Hybrid Office - project-based with occasional client-site phases

What You’ll Do

Build, Configuration & Test

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

AI Agent Development

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
Handle LLM failure modes in code: output validation, fallback logic, human-in-the-loop triggers, and graceful degradation when model outputs fall outside acceptable parameters
Work with JSON editors, API testing tools, and the Anthropic API directly to validate agent behaviour before it reaches a client environment

Procode & Custom Development

Write Python, JavaScript, or C# beyond the UiPath activity layer - custom scripts, data transformation pipelines, lightweight utilities, and integration logic that the platform can’t handle natively
Build and maintain custom UiPath activities and libraries where out-of-the-box components fall short - extending the platform rather than working around it
Design and implement API integrations from scratch where no connector exists - authentication, payload handling, retry logic, error management, and response parsing
Develop lightweight back-end components to support agent workflows - data preprocessing, output formatting, webhook handlers, and queue management that sit outside the automation itself
Know when to build inside the platform and when to step outside it - that judgment is what separates an automation engineer from an RPA developer

Delivery Participation

Work within two-week sprint cycles - sprint planning, daily standups, reviews, and retrospectives; you are an active participant, not a resource that takes tickets
Respond quickly to build-phase queries from the Automation Business Consultant - ambiguity in the spec costs sprint time; resolve it fast and document the outcome
Flag technical risks, integration blockers, and scope gaps to the AI Delivery Engagement Manager as they surface - not after they have already caused a delay
Support go-live and post-deployment stabilisation - the build is not done until the client is running it confidently in production

What We’re Looking For

Essential Experience

3–7 years of hands-on development experience, with at least 2 years on UiPath a client-facing or professional services environment
Demonstrated experience building and deploying AI agent or LLM-integrated solutions - not just familiarity; 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
Experience working within agile delivery cycles - sprint-based development, backlog grooming, iterative releases
Direct exposure to enterprise system integrations - REST APIs, ERPs, CRMs, document platforms - and the real-world messiness that comes with them

Skills & Competencies

Precision builder - your code is clean, documented, and maintainable; you do not leave technical debt for the next person to clean up
AI-native - you understand how LLMs behave, where they fail, and how to build against probabilistic outputs reliably
Problem-solver, not ticket-closer - when the spec is incomplete or the integration is messier than expected, you figure it out and document what you found
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

Technical Familiarity

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
JSON, Python, or C# - enough to build custom activities, handle data transformations, and extend UiPath where needed
Postman or equivalent API testing tools for pre-integration validation
Jira or Azure DevOps for sprint tracking and defect management
Microsoft Power Platform (Power Automate, Power Apps) awareness is a plus

What Great Looks Like in This Role

The standard we are hiring to:

The best developers we have worked with treat the SDD as a starting point, not a ceiling. They build what it says, flag what it missed, and leave the codebase better than they found it. 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

We use AI tools to support parts of our recruitment - things like organizing applications and flagging relevant experience. These tools inform our process, they don't drive it. Every hiring decision is made by our team, full stop.

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.

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More about this job

Responsibilities

Build and configure AI agent workflows and RPA solutions using UiPath and Anthropic Claude. Collaborate within agile pods to translate solution designs into production-ready automation and integrate them with enterprise systems.

Requirements

Requires 3-7 years of development experience, including at least 2 years with UiPath and a proven track record of deploying LLM-integrated solutions. Must be proficient in API integrations and custom coding in Python, C#, or JavaScript.

Skills

UiPath
Anthropic Claude
AI Agent Development
Python
C#
JavaScript
REST API Integration
LLM Integration
Agile Methodology
JSON
Microsoft Power Platform
Orchestrator
REFramework
Prompt Engineering
Unit Testing
System Integration

Visa sponsorship

Not detected in the job text

Keywords

AI Automation
Agentic AI
UiPath Studio
Anthropic Claude
LLM
RPA
Microsoft Power Platform
REST API
JSON
Python
C#
JavaScript
Agile
Sprints
Orchestrator
REFramework
Prompt Chaining
UAT
Enterprise Systems
ERP
CRM
Postman
Jira
Azure DevOps
Tool Use
Structured Outputs
Human-in-the-loop
Custom Activities
Data Transformation
Webhook Handlers

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