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Added 3 months ago
M(
Senior Applied Machine Learning Developer, Asset Intelligence
MaintainX (An Autodesk Company)
Remote, Canada
- Full-time
- Remote
Expertise in Python, and strong familiarity with PyTorch, TensorFlow, and cloud ML stacks (AWS, Databricks, or similar).
Added 3 months ago
CS
Staff Software Engineer, GPU Inference
Cerebras Systems
Remote, Canada
- Full-time
- Remote
Strong programming ability in C++ and Python, including experience with multithreading, concurrency, memory management, and performance-sensitive software.
Added 3 months ago
S
Senior Data Engineer
ShyftLabs
Toronto, ON
- Full-time
…discovery through production deployment. You'll partner directly with client stakeholders to understand business objectives, define technical strategy, architect scalable cloud solutions,…
Added 3 months ago
Q
Sr. Engineer, Machine Learning Software Verification
Qualcomm
Markham, ON
- Full-time
…(DNN) models on Qualcomm Hexagon Processors. Our team works with OEMs and developers to develop and optimize DNN models for the Qualcomm AI…
Added 4 months ago
T
Senior QA Automation Engineer
Tubi
Toronto, Ontario
- Full-time
Familiarity with Python, TypeScript, or JavaScript for scripting and test automation.
Added 4 months ago
I
Senior AI Software Engineer
iManage
Toronto, Ontario
- Full-time
Designing and implementing production-ready LLM applications and APIs with monitoring, observability, and integration testing built in
Added 3 months ago
Data Scientist
Government of Alberta
Edmonton, AB
Collaborate with data engineers, analysts and other stakeholders to design and support scalable data and ML pipelines
Added 4 months ago
O
Solution Consultant - NAM
Omilia
Canada
- Full-time
…assigned region or global segment. Operating in close partnership with Account Executives and Account Managers, the SC is accountable for technical win rates, solution quality, and the…
Added 3 months ago
V
Senior Machine Learning Engineer
Vancity
Vancouver, BC
- Full-time
Strong proficiency in Python and SQL, with solid software engineering fundamentals including data structures, algorithms, and object-oriented design
Added 3 months ago
S
Applied AI Lead - Calgary
Sia
Calgary, AB
- Full-time
Proficiency in Python or another relevant language, plus experience with common AI/ML frameworks and at least one major cloud platform (AWS, Azure, or GCP)
Added 3 months ago
S
Applied AI Lead - Edmonton
Sia
Edmonton, AB
- Full-time
Proficiency in Python or another relevant language, plus experience with common AI/ML frameworks and at least one major cloud platform (AWS, Azure, or GCP)
Added 1 month ago
PC
Senior Java Developer (with Python, AWS and Terraform) - Toronto, ON (Hybrid)
Pozent Corporation
Toronto, ON
- $65 to $85 USD / hour
- Contract
We are seeking a skilled and passionate Senior Software Engineer with strong expertise in Java and AWS to join our technology team. The ideal candidate will have extensive hands-on…
Added 1 month ago
EA
Senior Software Engineer - Generative Engine Tools
Electronic Arts (EA)
Vancouver, BC
- Full-time
…creative technologies and tools will expand how players engage with and contribute to our experiences, supported by thoughtful product design, safety systems, and global reach. Our focus is…
Added 5 months ago
X
Full Stack AI Engineer / Applied AI Engineer
Xsolla
Montreal, Quebec
- Full-time
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with…
Added 3 months ago
Data Scientist, ADE Analytics
Amazon
Vancouver, BC
The Alexa Daily Essentials team delivers experiences critical to how customers interact with Alexa as part of daily life. Alexa users engage with our products across experiences connected…
Added 1 month ago
PO
Head of Space AI
Player One Space
Remote, Canada
- $160,000 to $200,000 USD / year
- Full-time
- Remote
…system-level trade-offs, and ensure the architecture survives contact with real spacecraft…
Added 5 months ago
BA
Machine Learning Engineer - Enterprise
Boson AI
Toronto, Ontario
- $150,000 to $400,000 CAD / year
- Full-time
…agents can perform complex tasks autonomously, interacting with diverse data sources and tools, as we collectively move towards building truly cohesive and powerful AI capabilities for our…
Added 4 months ago
R
Principal Platform Engineer, Machine Learning
RAVL
Toronto, Ontario
- Full-time
These roles include both immediate project needs and pipeline hiring for upcoming engagements, with a focus on building reliable, production-grade ML systems at scale.
Added 4 months ago
R
Platform Engineer, Machine Learning
RAVL
Toronto, Ontario
- Full-time
Implement reusable workflows aligned with platform architecture
Added 3 months ago
TA
Forward Deployed Engineer (Generative AI)
Tiger Analytics Inc.
Remote, Canada
- Full-time
- Remote
Tiger Analytics is looking for experienced Forward Deployment Engineer (Generative AI) with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees…
Added 3 months ago
TA
Gen AI Engineer
Tiger Analytics Inc.
Remote, Canada
- Full-time
- Remote
…Canada, the UK, India, Singapore, and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. We are a Great Place to…
Added 4 months ago
AP
Observability Engineer
Accommodations Plus International
Markham, ON
- $90,000 to $110,000 CAD / year
Scripting & Development: Develop automation workflows using Python, PowerShell, Unix Scripts, and REST APIs, both for in-house tooling and third-party vendor integrations.
Added 3 months ago
D
Market Research and Competitive Intelligence Analyst II [568]
D-Wave
Burnaby, BC
- $73,000 to $100,000 CAD / year
Experience working with dashboards or data visualization tools (e.g., Tableau, Power BI, Python, or similar).
Added 3 months ago
T
Scientifique-chercheur en IA Appliquée /Applied AI Research Scientist
Thales
Montreal, QC
- Full-time
…in Artificial Intelligence eXpertise (cortAIx) collaborating with leading Canadian AI research groups in Montreal and Toronto. With competencies in major industrial markets Thales is…
Added 4 months ago
AS
Applied Scientist, AICE - AI Center of Excellence
Amazon Science
Vancouver, BC
- Full-time
Experience with programming languages such as Python, Java, C++

iManage

Senior AI Software Engineer

Toronto, ON, Canada

Full-time

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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.

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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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