Jobs in Canada

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Added 3 months ago
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Senior Data Engineer
ShyftLabs
Toronto, ON
- Full-time
ShyftLabs is seeking an experienced Senior / Lead Data Engineer to lead the design, architecture, and delivery of enterprise-scale data platforms for Fortune 500 organizations. This is a…
Added 3 months ago
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Infra System Administrator
Accenture
Ottawa, ON
- Full-time
This role will require a minimum of 3 days per week in the office
Added 3 months ago
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Network Engineer
Accenture
Ottawa, ON
- Full-time
This role will require a minimum of 3 days per week in the office
Added 3 months ago
A
Data Center Specialist
Accenture
Ottawa, ON
- Full-time
This role will require a minimum of 3 days per week in the office
Added 3 months ago
A
Infra System Administrator
Accenture
Ottawa, ON
- Full-time
This role will require a minimum of 3 days per week in the office
Added 3 months ago
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Senior Software Engineer, Applied AI (Toronto)
Justworks
Toronto, ON
- $188,000 to $242,000 CAD / year
We are seeking a Senior Software Engineer with a strong passion for building AI-native systems in a product environment. The ideal candidate will be able to take ownership of large segments…
Added 3 months ago
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Network Engineer
Accenture
Ottawa, ON
- Full-time
This role will require a minimum of 3 days per week in the office
Added 3 months ago
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Software Engineer - Team Lead (Forward Deployed)
Volaris Group
Mississauga, ON · Canada - Mississauga, ON
- Full-time
We’re looking for a Software Engineer Team Lead (Forward Deployed) to join our customer engineering team as a player/coach. You’ll work directly with enterprise clients to design,…
Added 3 months ago
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Sr. Engineer, Machine Learning Software Verification
Qualcomm
Markham, ON
- Full-time
1+ years of Python and other scripting programming
Added 2 months ago
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Test/Lab Engineer
Actalent
Oakville, ON
- Contract
Our client in the automotive industry, is looking to hire a Test/Lab Engineer.
Added 4 months ago
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AI Full Stack Engineer
Feathery
Toronto, Ontario
- $90,000 to $140,000 CAD / year
- Full-time
To keep pace with that ambition, we're looking for a Full Stack Engineer to join the AI team and own these capabilities end-to-end.
Added 4 months ago
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Senior QA Automation Engineer
Tubi
Toronto, Ontario
- Full-time
Tubi is seeking a highly skilled and experienced Senior QA Automation Engineer to lead quality assurance initiatives for our cutting-edge streaming and AI-driven product features. This…
Added 4 months ago
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Senior AI Software Engineer
iManage
Toronto, Ontario
- Full-time
Being a Senior AI Software Engineer at iManage Means
Added 4 months ago
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Cloud Security Engineer
Opendoor
Toronto, Ontario
- Full-time
As our Cloud Infrastructure Security Engineer, you'll own the security of everything Opendoor runs on including multi-account AWS, Kubernetes clusters, the identity plane connecting every…
Added 4 months ago
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Application Security Engineer
Opendoor
Toronto, Ontario
- Full-time
As our Application Security Engineer, you'll own how we find, prioritize, and drive down application-layer risk across the consumer flows that put cash offers in homeowners’ hands, the…
Added 4 months ago
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QA Automation Engineer
Tubi
Toronto, Ontario
- Full-time
Tubi is seeking a highly skilled and experienced QA Automation Engineer to lead quality assurance initiatives for our cutting-edge streaming and AI-driven product features. This pivotal…
Added 3 months ago
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Senior Consultant, Migration Engineer
BDO
Toronto, ON
- Full-time
At BDO, our purpose is helping people thrive. As a Senior Consultant, Migration Engineer, you will join a growing team focused on helping organizations modernize their technology…
Added 3 months ago
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Sr Associate Software Engineer - Applied AI
Amgen
Burnaby, BC
- Full-time
As a Sr Associate Software Engineer, you will be an integral member of the Applied AI – AI Productivity/Custom GPT Solutions Practice team, which empowers Amgen teams and staff members to…
Added 2 months ago
Staff Software Engineer
Dialpad
Vancouver, BC
As a Staff Software Engineer, you’ll own the platformization roadmap for shared services, architecting a plan to decouple existing functionality into highly reusable services. Your…
Added 3 months ago
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Principal Software Development Engineer - Applied AI
Wagepoint
Remote, Canada
- $200,000 to $220,000 CAD / year
- Full-time
- Remote
We’re looking for a talented Principal Software Development Engineer - Applied AI, who enjoys tackling hard problems and wants to create meaningful impact for small businesses across…
Added 3 months ago
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Tech Lead - ToolHound
Beacon Software
Remote, Canada
- Full-time
- Remote
Lead and grow the team. Mentor the current engineer, raise their ceiling, and establish the best practices.
Added 3 months ago
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Senior Software Developer, API Platform
Miovision
Remote, Canada
- $150,000 to $170,000 CAD / year
- Full-time
- Remote
As a Senior Modern Software Engineer, you will sit at the intersection of Context, AI, and Core Engineering - combining deep domain understanding and business value alignment with AI-first…
Added 2 months ago
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RF System Verification Engineer
Actalent
Sainte-Anne-de-Bellevue, QC
- Contract
…add payload-focused resources, including one testing-focused engineer and two engineers focused on V&V documentation and requirements…
Added 2 months ago
PC
Sr. Data Engineer - Toronto, ON (Hybrid)
Pozent Corporation
Toronto, ON
- Contract
Skills - Must have
Added 2 months ago
PC
Senior AI Engineer - Toronto, ON
Pozent Corporation
Toronto, ON
- Contract
We are seeking an experienced AI Engineer to design and deliver scalable GenAI solutions. This subcontractor role focuses on building production�?ready AI products using Python, React, and…

iManage

Senior AI Software Engineer

Toronto, ON, Canada

Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Full-time
Experience: 3+ years of experience in ML/AI engineering or software engineering
Posting language: English
Posted: Jun 18, 2026

Original job description

We offer a flexible working policy that supports a healthy balance between personal and professional well-being. This role requires in-office presence on Tuesdays & Fridays to collaborate, connect, and learn from peers - while also maintaining the flexibility for meaningful work-life balance.

Being a Senior AI Software Engineer at iManage Means

You are passionate about building and deploying AI systems that work at scale in production. You will work within the Applied AI team alongside engineers, data scientists, and product stakeholders to develop the AI capabilities that power iManage’s enterprise work platform, including Ask iManage, our generative AI document assistant, as well as document classification, extraction, and LLM-driven features that directly impact how knowledge workers search, organize, and understand their most critical information. You bring hands-on depth in both model development and the infrastructure required to ship it reliably, and you thrive at the intersection of machine learning, software engineering, and cloud infrastructure.

iM Responsible For

Owning the end-to-end ML lifecycle for AI systems from model development and evaluation through to scalable production serving, generative AI document intelligence, and agentic system use cases
Deploying and optimizing ML/AI systems on GPUs and Kubernetes-based cloud infrastructure, including AKS or equivalent platforms, while balancing trade-offs across scalability, latency, performance, operational complexity, and cost efficiency
Designing and implementing production-ready LLM applications and APIs with monitoring, observability, and integration testing built in
Applying modern engineering practices for production AI systems, including containerized services, CI/CD pipelines, model and version tracking, and release governance
Collaborating with product and business stakeholders to translate requirements into viable technical solutions
Conducting code reviews and providing constructive feedback to team members
Contributing to best practices and standards for AI engineering across the team

iM Qualified Because I Have

A Bachelor’s, Master’s, or Ph.D. in Computer Science, Machine Learning, Data Science, Artificial Intelligence, Statistics, or a related field
3+ years of experience in ML/AI engineering or software engineering
Hands-on experience building and shipping LLM systems into production
Deep proficiency in Python and modern AI frameworks, including PyTorch and Hugging Face
Solid understanding of ML fundamentals including hands-on experience with both traditional ML and modern generative AI and transformer architectures
Demonstrated experience fine-tuning language models and deploying them to production
Experience with GPU optimization for training and inference workloads
Experience with Kubernetes deployment on cloud infrastructure (Azure, AWS, or GCP) to optimize systems for scalability, latency, performance, and cost efficiency
The ability to work collaboratively across teams, communicate with precision, and take ownership from prototype to production

Bonus Points If I Have

Experience with distributed training frameworks (e.g., PyTorch Distributed, Ray) and inference optimization tools (e.g., vLLM, SGLang)
Experience with agentic engineering, including agent harness and agent memory, and orchestration frameworks such as LangChain, LlamaIndex, or similar tools
Experience with knowledge graphs and multimodal LLMs
Familiarity with AI/ML observability tools and model lifecycle management best practices

Don't meet every qualification listed above? Studies show that women and people of color are less likely to apply to jobs unless they meet all qualifications. At iManage, we are committed to building a diverse and inclusive environment, and encourage everyone to show up as their full authentic selves. We welcome those that come with a growth mindset and a hunger for learning; so, if you are excited about this role but your past experience doesn't align perfectly with every qualification we encourage you to apply anyways!

iM Getting To

Join a rapidly evolving, industry-leading SaaS company on an exciting journey of growth and scalability!
Take on meaningful, high-impact challenges by leveraging cutting-edge technologies and best-in-class protocols to drive innovation.
Own my career path with our internal development framework. Ask us more about this!
Expand my skill set and earn certifications with unlimited access to LinkedIn Learning courses and interactive Microsoft courses & training.
Be part of a supportive and experienced team within a dynamic, inclusive, and encouraging culture.
Enjoy flexible work hours that empower me to balance personal time with professional commitments.
Collaborate in a modern, open-plan workspace featuring a gaming area, free snacks and drinks, and regular social events.

iManage Is Supporting Me By

Creating an inclusive environment where I can help shape the culture not just by fitting in, but by adding to it.
Providing a market competitive salary that is applied through a consistent process, equitable for all our employees, and regularly reviewed based on industry data.
Rewarding me with an annual performance-based bonus.
Offering comprehensive Health/Vision/Dental/Life Insurance, and a Registered Retirement Savings Plan with a company match up to 5%.
Granting enhanced leave for expecting parents; 20 weeks 100% paid for primary leave, and 10 weeks 100% paid for secondary leave.
Providing me with a flexible time off policy to take the time off that I need. Be it for vacation, volunteering, celebrating holidays, spending time with family, or simply taking time to recharge and reset.
Having multiple company wellness days each year to prioritize mental health and well-being.
Providing access to RethinkCare, a global behavioral health platform that enhances personal well-being, strengthens professional resilience, and empowers parental success through expert-led training and resources.

iManage is committed to providing an excellent candidate experience and will never ask you to engage in recruitment activity via text and exclusively communicates from emails using the @imanage.com domain. If you have any concerns or questions about communications you have received, please send them to [email protected] so our team members can review.

About iManage

At iManage, we are dedicated to Making Knowledge Work™. Our intelligent, cloud-enabled, and secure platform is trusted by 4,100+ customers and 430,000 users worldwide, managing over 11 billion documents and 11 petabytes of data. We empower professionals across 65+ countries to unlock the full potential of their business content and communications.

We are continuously innovating to solve the most complex professional challenges and enable better business outcomes; Our work is not always easy but it is ambitious and rewarding.

So we’re looking for people who embrace challenges. People who thrive on solving problems, pushing boundaries, and collaborating with the industry’s best and brightest. That’s the iManage way. It’s how we turn the impossible into reality, empower our employees to grow, unlock their potential, and create a meaningful impact on everything we do.

Whoever you are, whatever you do, however you work. Make it mean something at iManage.

iManage provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Learn more at: www.imanage.com

Please see our recruitment privacy statement for more information on how we handle your personal data.

Apply on LinkedIn About employer

More about this job

Responsibilities

The Senior AI Software Engineer will own the end-to-end ML lifecycle for AI systems, including model development and deployment. They will collaborate with various stakeholders to translate requirements into technical solutions and ensure production readiness of AI applications.

Requirements

Candidates should have a Bachelor’s, Master’s, or Ph.D. in a relevant field and at least 3 years of experience in ML/AI engineering or software engineering. Proficiency in Python and modern AI frameworks, as well as experience with deploying LLM systems, is essential.

Skills

Machine Learning
Software Engineering
Cloud Infrastructure
Python
PyTorch
Hugging Face
Generative AI
Transformer Architectures
Kubernetes
GPU Optimization
CI/CD Pipelines
Model Tracking
Release Governance
Collaboration
Code Reviews
Best Practices

Benefits

Health Insurance
Vision Insurance
Dental Insurance
Life Insurance
Retirement Savings Plan
Paid Parental Leave
Flexible Time Off
Wellness Days
Access to Behavioral Health Platform

Visa sponsorship

Not detected in the job text

Keywords

AI
Machine Learning
Software Engineering
Cloud Infrastructure
Python
PyTorch
Hugging Face
Generative AI
Transformer Architectures
Kubernetes
GPU Optimization
CI/CD
Model Tracking
Release Governance
Collaboration
Code Review
Best Practices
Distributed Training
Inference Optimization
Agentic Engineering
Knowledge Graphs
Multimodal LLMs
AI Observability
Model Lifecycle Management
SaaS
Document Intelligence
APIs
Monitoring
Observability
Integration Testing

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Work requirements

Jobs in Canada