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Added 25 mins ago
L&
Senior Systems Analyst (SAP BAIP)
Lindt & Sprüngli (North America) Inc.
Toronto, ON
- Full-time
Ensure compliance with DevOps and CI/CD best practices
Added 26 mins ago
OG
Intermediate Software Engineer - Onni Capital
Onni Group of Companies
Vancouver, BC
- Full-time
Hands on experience with DevOps practices, including CI and CD pipelines, Docker, and containerisation
Added 41 mins ago
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Intermediate Full-Stack Software Developer (SaaS Healthcare)
Medfar
Montreal, QC
- Full-time
Experience with test automation (unit, integration, front-end), CI/CD workflows, and DevOps practices
Added 41 mins ago
PC
Managed Services, Service Delivery Manager (Bilingual FR/EN)
Pwc Canada
Montreal, QC · Quebec, QC
- Full-time
…Familiarity or certification in one or many of the Following ITIL, DevOps, COBIT ou des technologies Workday, Salesforce, Oracle, Microsoft, Cisco…
Added 55 mins ago
MC
Technical Consultant III (35732)
Myticas Consulting
Toronto, ON
- Full-time
Work closely with Architecture, Product Management, Engineering, QA, DevOps, Functional Consulting, and implementation teams to resolve complex technical decisions.
Added 55 mins ago
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Staff Software Engineer - Checkout and Post Purchase Web Experiences
lululemon
Vancouver, BC
- Full-time
…and returns. They work very closely with our services teams, DevOps, and product teams to deliver responsive and easy to use experiences for our guests that enable that purchase…
Added 55 mins ago
MC
IBM Technology Developer (35554)
Myticas Consulting
Toronto, ON
- Contract
Exposure to DevOps practices and CI/CD pipelines within IBM technology projects.
Added 55 mins ago
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Technical Business Analyst – Syndigo PIM MDM (35930)
Myticas Consulting
Canada
- Contract
Scrum/SAFe certification or equivalent Agile fluency; familiar with Jira or Azure DevOps.
Added 55 mins ago
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Solutions Architect – AWS Node.js Digital Banking (35654)
Myticas Consulting
Toronto, ON
- Contract
Partner with DevOps teams on CI/CD, infrastructure as code, environment promotion, monitoring, logging, rollback, and release readiness.
Added 55 mins ago
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Senior Implementation Consultant
nCino
Toronto, ON
- Full-time
Added 55 mins ago
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Senior QA Engineer III – Automation | Banking | API | Kafka | ETL (35729)
Myticas Consulting
Ottawa, ON
- Full-time
Collaborate with Developers, Business Analysts, Product, DevOps, and QA teams throughout the software delivery lifecycle.
Added 55 mins ago
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Senior Test Engineering Specialist (36135)
Myticas Consulting
Gatineau, QC
- Full-time
Collaborate with DevOps, Ground Systems, and Satellite teams to support innovative, coordinated verification activities.
Added 55 mins ago
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Full Stack Developer
CGI
Vancouver, BC
- Full-time
…continuing to build depth in cloud native development, APIs, DevOps, automation, and AI assisted software…
Added 55 mins ago
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Développeur Microsoft Dynamics 365 CE / Power Platform
CGI
Montreal, QC
- Full-time
Configuring and using code management and deployment tools (e.g., Jira, Azure DevOps, etc.)
Added 55 mins ago
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Manager – Banking Cloud & Platform Engineering (35857)
Myticas Consulting
Toronto, ON
- Full-time
Work with technical teams utilizing Infrastructure-as-Code, CI/CD, containers, Kubernetes, APIs, DevOps, and modern application delivery practices.
Added 55 mins ago
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Product Manager
Linedata
Toronto, ON
- Full-time
Familiarity with software release processes, DevOps, and CI/CD practices to understand delivery dependencies and collaborate with engineering.
Added 55 mins ago
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SysOps Software Architect (36136)
Myticas Consulting
Ottawa, ON
- Full-time
Work with DevOps, IT, Network Operations, and support teams on deployability, supportability, and maintainability.
Added 1 hour ago
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DevOps Specialist - Kubernetes (35700)
Myticas Consulting
Ottawa, ON
- Full-time
Added 1 hour ago
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Senior Full Stack Developer (Java And React/Angular) - Operate (Future Opportunity)
Deloitte
Toronto, ON
- Full-time
You will collaborate closely with Product Owners, Business Analysts, QA, DevOps, and UX teams to deliver end-to-end solutions. You will participate in system design discussions and…
Added 1 hour ago
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Senior Java Backend Developer - Operate (Future Opportunity)
Deloitte
Toronto, ON
- Full-time
Experience collaborating with cross-functional teams including Product Owners, Business Analysts, QA, DevOps, and Architects.
Added 1 hour ago
RI
Senior Full Stack Java Developer - Capital Markets
Rose International
Mississauga, ON
- Full-time
Demonstrated DevOps experience with Docker, OpenShift, Kubernetes, infrastructure as code, and reliable cloud deployment on at least one major cloud platform: AWS, Azure, or GCP.
Added 1 hour ago
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Consultant, Cloud Engineer - Azure
BDO
Toronto, ON
- Full-time
Support CI/CD pipelines and automated deployments, working with modern DevOps and source-control practices.
Added 1 hour ago
PC
Specialist, BI Developer
Parkland Corporation
Calgary, AB
- Full-time
Contribute to reusable engineering standards, templates, documentation, and development patterns without serving as the primary DevOps platform owner.
Added 1 hour ago
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Specialist II TIS Application Observability
Enbridge
Calgary, AB · Edmonton, AB · Toronto, ON
- Full-time
Experience with cloud platforms (Azure and/or AWS), Kubernetes, microservices, REST APIs, ServiceNow integrations, and modern DevOps practices.
Added 1 hour ago
ZC
Senior Full Stack Developer (Angular & Java)
Ztek Consulting
Montreal, QC
- Full-time
Experience with DevOps practices, including continuous integration and continuous deployment (CI/CD).

Mizo

Applied AI Engineer

Montreal, QC, Canada

Full-time

Apply About employer

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Job details

Job type: Full-time
Apply by: Apr 28, 2027
Experience: 5+ years of software engineering experience, with meaningful time spent on AI/LLM systems.
Posting language: English
Posted: Oct 30, 2026

Original job description

The Opportunity

We're looking for an Applied AI Engineer to design, ship, and operate the agentic AI systems at the core of Mizo. In this role, you'll take agents from prototype to production - and own how they behave, reason, and recover once real customers depend on them.

Mizo is building AI agents that automate service desk operations for Managed Service Providers. Our agents handle ticket triage, client communication, scheduling, resolutions, and escalation - tasks that traditionally require human intervention. We're growing fast, and on track to become the first fully digital service desk for MSPs. We need someone who can make autonomous agents reliable enough to run unattended.

The ideal candidate lives at the intersection of LLM engineering and production systems. You're as comfortable tuning a prompt and an agent loop as you are reading traces, debugging a failed tool call, and tightening an eval suite. You care about what agents actually do in production, not just what they do in a demo.

Key Responsibilities

Build production agentic systems: design multi-step agent loops with tool use, planning, memory, and autonomous decision-making that run reliably against real customer workloads.
Own agent reliability end-to-end: instrument, monitor, and debug agents in production - chase down hallucinations, failed tool calls, runaway loops, and edge cases, then ship fixes.
Build evals and guardrails: create evaluation suites, regression tests, and safety checks so we can ship agent changes with confidence instead of vibes.
Optimize cost, latency, and quality: make data-informed tradeoffs across models, prompting strategies, retrieval, and orchestration to keep agents fast, cheap, and accurate at scale.
Integrate agents with real systems: connect agents to MSP tools, ticketing platforms, and internal APIs so they can take real actions, not just generate text.
Close the loop with production data: turn real agent runs and user feedback into better prompts, better tools, and a better roadmap.
Collaborate async-first: communicate clearly in writing, share context proactively, and make decisions with minimal coordination overhead.

Required Qualifications

Proven experience shipping LLM-powered or agentic features to production - not just prototypes or notebooks.
Deep, hands-on understanding of agent design: tool use, function calling, planning, memory, retrieval, and multi-step orchestration.
Strong instincts for evaluation and reliability - you know how to measure whether an agent is actually getting better.
Proficiency with TypeScript and/or Python, Node.js, and modern web architecture.
Comfort with ambiguity and rapid iteration. You thrive when the spec is not fully written and the model behavior is non-deterministic.
Ability to manage your own work independently and ship on time.
5+ years of software engineering experience, with meaningful time spent on AI/LLM systems.

Desired Skills and Qualifications

Experience with agent frameworks, orchestration tools, and LLM observability/tracing stacks.
Familiarity with building eval pipelines, LLM-as-judge, and prompt/version management at scale.
Experience with retrieval-augmented generation (RAG), vector stores, and context engineering.
Familiarity with the MSP, IT services space, or operational workflows in B2B SaaS.
Experience with Azure cloud services and DevOps workflows.
Strong async communication skills - you write well and think out loud in docs.

What We Offer

Competitive salary + ESOP: Real ownership in a company with early traction.
High autonomy: You decide how to build and operate our agents.
Real impact: Your agents run in production and handle real customer work every day.
Office-based culture: We're a small team, so you'll have a lot of opportunities to collaborate in person.
Montreal office (Plateau): Our office is on the Plateau.
Growth trajectory: Join at the ground floor of a fast-growing AI company.
Cutting-edge AI: Work with agentic AI, LLMs, and autonomous workflows daily.

Why Mizo?

MSPs are drowning in repetitive service desk work. We're building AI agents that handle it autonomously - and the market is responding. With customers on 4 continents and growing fast, we're proving that agentic AI can transform how IT services are delivered.

This is a rare chance to take agentic AI all the way to production at scale, and own the systems that make it trustworthy. You'll work directly with the founding team, see your agents handle real tickets within days, and have a direct line from production data to the next thing you build.

Apply About employer

More about this job

Responsibilities

Design, deploy, and operate production agentic AI systems that use tools, planning, memory, and orchestration to automate service desk workflows. Monitor and improve agent reliability, evaluations, safety, cost, latency, and quality by integrating with customer systems and using production data and feedback.

Requirements

Requires 5+ years of software engineering experience, including meaningful experience shipping LLM-powered or agentic features to production, and hands-on knowledge of agent design and evaluation. Candidates should be proficient in TypeScript and/or Python, Node.js, and modern web architecture, and able to work independently in an ambiguous, rapidly changing environment.

Skills

Agentic AI Systems
LLM Engineering
TypeScript
Python
Node.js
Agent Design
Tool Use and Function Calling
Planning and Memory
Retrieval-Augmented Generation
Evaluation and Regression Testing
LLM Observability and Tracing
Prompt Engineering
Production Reliability
Azure Cloud Services
DevOps
Async Communication

Benefits

Stock Options
High Autonomy
In-Person Collaboration
Growth Opportunities

Visa sponsorship

Not detected in the job text

Keywords

Applied AI
Agentic AI
LLM Engineering
Production Systems
Autonomous Agents
Multi-Step Orchestration
Tool Use
Function Calling
Planning
Memory
Retrieval-Augmented Generation
Vector Stores
Context Engineering
Evaluation Pipelines
LLM-as-Judge
Regression Testing
Safety Guardrails
LLM Observability
Tracing
Prompt Management
TypeScript
Python
Node.js
Modern Web Architecture
Azure
DevOps
Managed Service Providers
Ticketing Platforms
IT Services
B2B SaaS

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