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Adobe Site Reliability Engineer
Apptoza Inc.
Toronto, ON
- Full-time
Adobe Site Reliability Engineer ( English and French)
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Applied AI Engineer
Mizo
Montreal, QC
- Full-time
Proficiency with TypeScript and/or Python, Node.js, and modern web architecture.
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CCaaS Developer
Accenture
Montreal, QC
- Full-time
…strategy; and campaign, content and channel orchestration. With strong client relationships and deep industry expertise, we help our clients operate at the speed of life through the…
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Senior Software Engineer, Agentic AI Products
Leo Berwick
Toronto, ON
You are a senior engineer with 7–15 years of professional software engineering experience, a strong academic foundation in computer science, engineering, or mathematics, and a proven record…
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Software Development Engineer in Test, Evisort AI
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
Familiarity with one or more Programming Languages such as JavaScript, Typescript and/or Python relevant to test automation development.
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ASIC Engineer Intern
Ciena
Ottawa, ON
- Full-time
…supports growth and well-being - on and off the job. Connect with a career that…
Added 1 day ago
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Delivery Lead
Enercare Inc.
Markham, ON
- Full-time
…building things that make a difference? As a Principal Software Engineer, you’ll be a key player in creating technology that transforms how our customers experience their homes. This role…
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DevOps Engineer
Synechron
Montreal, QC
- Full-time
…only dedicated production release coverage and works closely with Development, QA, SRE, Infrastructure, Network, and Operations…
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QA Test Engineer, Industrial
Litmus
Remote, Canada
- Full-time
- Remote
You’ll work on systems used by real customers in production, with direct impact on product and company trajectory. As a scaling company, we move quickly. You’ll have ownership, visibility,…
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Databricks Data Platform Engineer
Univedge Consulting LLC
Canada
- Contract
As a Senior Databricks Data Platform Engineer, you will own the engineering, automation, and day-to-day health of our enterprise Databricks Lakehouse platform. This is a platform-first…
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Senior Okta Engineer (IAM)
Charger Logistics Inc.
Brampton, ON
- Full-time
Automate identity lifecycle with Okta Workflows, Okta APIs, and Python or PowerShell.
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Data Scientist
Cyient
Longueuil, QC
- Full-time
💡 Ce que vous ferez : ✅ Développer et optimiser des pipelines de données avec Databricks, PySpark, Python et SQL
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Python Developer
TekStaff IT Solutions
Toronto, ON · Greater Toronto Area, Canada
- Contract
TekStaff's Client has a current vacancy for a Python Engineer/Application Developer
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Applied AI Engineer – Agents & Automation
Future Electronics
Kirkland, QC
- Full-time
The Frontier AI Deployed Engineer is a member of Future Electronics' AI & Automation Center of Excellence and works directly with business and technology teams to discover, design, build,…
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Senior Software Engineer Technical Remediation & Enablement
Citi
Mississauga, ON
- Full-time
The Vice President (VP) / Senior Software Engineer – Technical Remediation & Enablement Lead is a hands-on, code-level technical specialist responsible for driving the direct remediation of…
Added 1 day ago
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Applied AI Engineer - Canada
Saransh Inc
Montreal, QC
- Contract
Applied AI engineers are hands-on developers who work collaboratively with business and technology teams to accelerate the implementation of Generative AI use cases across Morgan Stanley.…
Added 1 day ago
CL
Senior Cloud DevOps Engineer
Charger Logistics Inc.
Brampton, ON
- Full-time
Strong Python programming with PowerShell/Bash experience.
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Machine Learning Engineer II
TD
Toronto, ON
- Full-time
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
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Software Engineer
Highspring
Montreal, QC
- Full-time
We are seeking a Python Software Engineer to join one of our delivery teams working on AI-enabled solutions within a large enterprise environment. In this role, you will play a key part in…
Added 1 day ago
Staff Platform Engineer, AI
Motive
Vancouver, BC · Toronto, ON
As a Staff Engineer on the Developer Productivity team, you will spearhead the effort to build systems and automation that are the development, build, and delivery backbone of the Motive…
Added 1 day ago
SI
Artificial Intelligence Engineer
Smart IT Frame LLC
Mississauga, ON
- Full-time
Strong Python development with FastAPI or Flask.
Added 1 day ago
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Senior Software Engineer - Brokerage Platform
Moomoo Canada
Toronto, ON · North York, ON
- Full-time
Having launched in Canada just over a year ago, MFC has experienced significant growth and success. Based in Toronto, with convenient access to the city's Line 1 TTC subway, our new office…
Added 1 day ago
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Junior Software Engineer
Iris Software Inc.
Toronto, ON · Greater Toronto Area, Canada
- Full-time
We are seeking a Junior Software Engineer with a strong Computer Science background and exposure to Generative AI (GenAI) technologies. The candidate will support the design, development,…
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Senior Software Engineer, Agentic Systems
CareLink (by Asepha)
Toronto, ON
- Full-time
…rapidly and seeking a talented, innovative Senior Software Engineer to join our growing team. As one of our early hires, you’ll play a critical role in shaping our engineering efforts,…
Added 1 day ago
Senior Data Engineer
Capgemini
Calgary, AB
We are seeking an experienced Databricks Data Engineer to design, develop, and maintain scalable data pipelines and cloud-based data platforms. The ideal candidate will have strong…

Mizo

Applied AI Engineer

Montreal, QC, Canada

Full-time

Apply About employer

Applications open in a new tab.

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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