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Added 4 months ago
Manager, Data & Analytics Business Partner
Talent Acquisition Team at Westland Insurance. Text reply only.
Surrey, British Columbia
You are comfortable working with tools and programming languages such as SQL, Python, or R
Added 1 month ago
GS
SBT Content Software Engineer II
Guidewire Software
Remote, Canada
- Full-time
- Remote
Experience with JavaScript, TypeScript, or Python
Added 4 months ago
P
Senior Site Reliability Engineer, AI Infrastructure
PointClickCare
Mississauga, Ontario
- Full-time
At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held,…
Added 4 months ago
NH
Computer Vision/ML Engineer
Norbert Health
Montreal, Quebec
- Full-time
We're a small, international team backed by top-tier VCs, with offices in Brooklyn and Paris. We ship things that matter.
Added 4 months ago
HT
Research Engineer – Multimodal AI & Interaction
Huawei Technologies Canada Co., Ltd.
Markham, ON
- Full-time
3+ years relevant research or industry experience (including graduate research), with strong Python (Typescript / Kotlin, C++/Java a plus) and collaboration skills across teams
Added 1 month ago
BC
BCG Platinion | Senior AI Tech Architect - AI Platforms
Boston Consulting Group
Toronto, ON
- $160,000 CAD / year
- Full-time
Boston Consulting Group (BCG) is a global consulting firm that partners with leaders in business and society to tackle their most important challenges and capture their greatest…
Added 2 months ago
Q
Firmware Engineer, Principal
Qualcomm
Toronto, ON
- Full-time
4+ years of work experience with Programming Language such as C, C++, Java, Python, etc.
Added 4 months ago
I
Senior AI Engineer
iManage
Toronto, Ontario
- Full-time
Designing and implementing production-ready LLM applications and APIs with monitoring, observability, and integration testing built in
Added 2 months ago
GD
System Integration & Test, Intermediate
General Dynamics Missions System International
Ottawa, ON
- Full-time
This position will include working with Windows Servers, Networking (routing, VLANs), Microsoft applications, radio secure bearers, voice and data networks, and various automation tools…
Added 5 months ago
CS
DevOps Engineer - New Grad 2026
Cerebras Systems
Remote, Canada
- Full-time
- Remote
Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750…
Added 5 months ago
M(
Senior Applied Scientist, Parts Intelligence & Inventory Optimization
MaintainX (An Autodesk Company)
Remote, Canada
- Full-time
- Remote
This is a high-ownership role. You'll shape the modeling approach, partner closely with product and design on what inventory managers actually need, and ship iteratively against feedback…
Added 4 months ago
Network Engineer, Foundation Services Automation
Meta
Quinte West, Ontario
Collaborate with internal and cross functional partner teams to define and automate optimal workflows for network deployment and repair
Added 4 months ago
Network Engineer, Foundation & Support
Meta
Quinte West, Ontario
Collaborate with internal and cross functional partner teams to define and automate optimal workflows for network pre-deployment activities
Added 1 month ago
Senior QA Automation Engineer
Tubi - Canada
Toronto, ON
Familiarity with Python, TypeScript, or JavaScript for scripting and test automation.
Added 6 months ago
S
Generative AI Consultant
Sia
Toronto, Ontario
- $80,000 to $100,000 CAD / year
- Full-time
…helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations…
Added 4 months ago
N
Engine/Gameplay Architect - UGC / Architecte moteur / gameplay – UGC
NBCUniversal
Montreal, Quebec
- Full-time
…workflows. You’ll define how creators build, extend, and interact with the platform - through robust APIs, scalable systems, and intuitive scripting - while enabling AI-driven tooling that…
Added 2 months ago
C
Lead Phyton and Generative AI Engineer- Vice President
Citi
Remote, Canada
- Full-time
- Remote
Engage with data science, technical, and business stakeholders to define and design overall architecture for key use-cases, specifically focusing on Python-based solutions for our lines of…
Added 4 months ago
Senior Full Stack AI Engineer
Ombud
Quinte West, Ontario
…between you and the product direction. You will work directly with the CEO on architectural decisions and directly with the platform engineer on production deployment. We are not hiring…
Added 1 month ago
Staff Software Engineer, Internal Tools
Tubi - Canada
Toronto, ON
Tubi’s Internal Tools team is at the forefront of AI integration, developing everything from developer resources to production-grade AI for business operations. We are the group responsible…
Added 4 months ago
Wireless Communications Systems Developer (SDR / Protocols / Embedded)
Octasic
Montreal, QC
We are looking for a Wireless Communications Systems Developer to join our software-defined radio team. The ideal candidate has strong experience in embedded software development, debugging…
Added 4 months ago
HT
Co-op Engineer - AI Software Engineering
Huawei Technologies Canada Co., Ltd.
Markham, ON
- Internship
Software Engineering Expertise: 2+ years of professional experience in C/C++, Python, and TypeScript application development, with a deep understanding of their respective programming…
Added 3 months ago
Director, Data Science/ML
CookUnity
Toronto, Ontario
Food has lost its soul to modern convenience. And with it, it has lost the power to nourish, inspire, and connect us. So in 2018, CookUnity was founded as the first-of-its-kind platform…
Added 4 months ago
MS
C++ Developer (Hybrid)
Morgan Stanley
Montreal, Quebec
- Full-time
Front-office Credit Risk management technology group is seeking a C++ developer for pricing model implementation projects required to support and enhance mission critical Credit Risk data…
Added 4 months ago
O
Solution Consultant, NAM
Omilia
Remote, Canada
- Remote
…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 4 months ago
JI
Senior Data Scientist | Scientifique de données senior
Jesta I.S.
Westmount, Quebec · Montreal, Quebec
- Full-time
Jesta I.S. is a Canadian enterprise software company with over 55 years of experience delivering mission-critical solutions to retailers, wholesalers, and brand manufacturers worldwide. Our…

iManage

Senior AI 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 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 careers@imanage.com 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

Own the end-to-end ML lifecycle for AI systems, focusing on generative AI document intelligence and agentic system use cases. Deploy and optimize AI models on GPU and Kubernetes-based cloud infrastructure to ensure scalability and performance.

Requirements

Requires a degree in Computer Science or a related field and 3+ years of experience in ML/AI or software engineering. Must have hands-on experience shipping LLM systems into production using Python and modern AI frameworks.

Skills

Python
PyTorch
Hugging Face
Large Language Models
Kubernetes
GPU Optimization
CI/CD
Model Fine-tuning
Azure
AWS
GCP
LangChain
LlamaIndex
Distributed Training
MLOps
API Design

Benefits

Health Insurance
Vision Insurance
Dental Insurance
Life Insurance
Registered Retirement Savings Plan with Company Match
Paid Parental Leave
Flexible Time Off
Wellness Days
Behavioral Health Platform Access
Annual Performance-based Bonus
LinkedIn Learning Access
Microsoft Courses & Training

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
Generative AI
LLM
Transformer Architectures
PyTorch
Hugging Face
Kubernetes
AKS
GPU Optimization
vLLM
SGLang
LangChain
LlamaIndex
Knowledge Graphs
Multimodal LLMs
CI/CD
Python
SaaS
Cloud Infrastructure
Azure
AWS
GCP
MLOps
Agentic Engineering
Distributed Training
Ray
Model Evaluation
API Development
Observability

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