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Added 4 months ago
P
Senior AI Engineer
Paytm
Toronto, Ontario
- Full-time
Strong grasp of LLM agent architectures (ReAct, RAG, tool use, multi-agent) and hands-on agentic orchestration and evaluation.
Added 2 months ago
CI
Cloud and Collaboration Specialist, IT Solutions
Celestica International LP
Toronto, ON
- $89,355 to $124,779 CAD / year
As a Collaboration and Cloud Operations Engineer, you will be the backbone of our digital workplace. You will manage, optimize, and secure our hybrid collaboration ecosystems (M365 & Google…
Added 4 months ago
BI
Senior Solutions Engineer
Burq, Inc.
Remote, Canada
- Full-time
- Remote
The Senior Solutions Engineer is Burq’s technical closer. You own the technical side of every deal - from first discovery call through signed contract - partnering closely with Account…
Added 4 months ago
TG
AI & ML Intern - Electrical Engineer
Trench Group GmbH
Toronto, Ontario
- $22 to $26 CAD / hour
…documentation solutions that modernize and streamline how we engineer and deliver air core reactors. Working closely with experienced engineers, you will help integrate AI and ML…
Added 4 months ago
T
Ingénieur en verification RF/ RF Test Engineer
Telesat
Gatineau, Quebec
- Full-time
Added 4 months ago
I
Software Engineer
Intellistack
Remote, Canada
- $120,000 to $150,000 CAD / year
- Full-time
- Remote
With intuitive solutions that put power in the hands of everyday users, we make it easier to build, automate, and optimize processes at scale.
Added 4 months ago
S
Programming - (Various Disciplines) - Talent Pool (N America)
Side
Remote, Canada
- Contract
- Remote
If you’re an engineer with a background in any of these areas or want to explore cross-functional opportunities, this is your invitation to get on our radar.
Added 4 months ago
I
Senior AI Engineer
iManage
Toronto, Ontario
- Full-time
…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…
Added 4 months ago
A
IT Systems Engineer
Aalyria
Canada
- $115,000 to $145,000 CAD / year
We’re looking for a hands-on IT Systems Engineer to join our team and own the day-to-day operation and continuous improvement of our corporate IT stack. This is a generalist IC role…
Added 4 months ago
FB
Senior AI Software Engineer
fgf brands
Toronto, ON · Greater Toronto Area, ON
- Other
We are seeking a Senior AI software Engineer to serve as a key technical driver within our data science team. In this role, you will be the bridge between conceptual AI research and robust,…
Added 2 months ago
P
Full Stack Engineer II
Procurify
Remote, Canada
- Full-time
- Remote
We are looking for a Full Stack Engineer II to join our team and help build the core engine and user experiences that power the Procurify platform. You will be a key contributor across both…
Added 4 months ago
V
Senior Engineer
Vantage
Remote, Canada
- $150,000 to $175,000 CAD / year
- Full-time
- Remote
Vantage is hiring a Senior Engineer. In this role you'll focus on building features and integrations with partner systems while acting as a subject matter expert and mentor for our…
Added 4 months ago
GC
Automation Engineer (RPA)
Greenlight Consulting
Toronto, Ontario
- $110,000 to $140,000 CAD / year
…measurable business value. We combine deep consulting expertise with hands-on engineering to bridge the gap between strategy and…
Added 4 months ago
CS
Principal AI Security Engineer
Cerebras Systems
Canada
- Full-time
Cerebras is seeking a Principal AI Security Engineer to lead hands-on security engineering for enterprise IT, infrastructure, AI platforms, and agentic systems.
Added 1 month ago
GS
SBT Content Software Engineer II
Guidewire Software
Remote, Canada
- Full-time
- Remote
Guidewire’s development team is looking for a smart, proactive, and results-oriented Software Engineer II to build elegant solutions for the property & casualty insurance industry’s…
Added 4 months ago
P
Senior Site Reliability Engineer, AI Infrastructure
PointClickCare
Mississauga, Ontario
- Full-time
…patient care. You will spend a significant portion of your time hands-on - building automation, designing guardrails, hardening platforms, and leading incident response across cloud…
Added 1 month ago
Staff Software Engineer - UI Platform
Okta
Toronto, ON
…We are looking for an experienced full stack Staff Software Engineer (with a focus on UI) who is passionate about building large-scale, mission-critical infrastructure in a fast-paced agile…
Added 4 months ago
HT
Research Engineer – Multimodal AI & Interaction
Huawei Technologies Canada Co., Ltd.
Markham, ON
- Full-time
…redefine human technology relationships through user centered, hands on research. We focus on agentic AI and multimodal interaction (voice, touch, vision, gesture) across smartphones,…
Added 4 months ago
IL
Senior Engineer Digital Distribution
Invesco Ltd.
Charlottetown, Prince Edward Island
- Full-time
…analytic frameworks. The position requires a strong technical hands-on-skilled engineer. A successful candidate must demonstrate strong analytical, design, programing, and debugging skills…
Added 3 months ago
CO
Distinguished Engineer
Capital One
Toronto, ON
- Full-time
161 Bay Street (93021), Canada, Toronto,Toronto, Ontario,Distinguished Engineer
Added 4 months ago
I
Senior AI Engineer
iManage
Toronto, Ontario
- Full-time
…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…
Added 2 months ago
Platform Applications Engineer Intern (8-month Co-Op)
Astera Labs Early Career
Vancouver, BC
…providers, server, and networking OEMs. As a Platform Application Engineer Intern, you’ll play a pivotal role in building and supporting the platforms that enable these products to thrive…
Added 4 months ago
Site Reliability Engineer
TextNow, Inc.
Waterloo, Ontario
TextNow is looking for motivated Site Reliability Engineer to own infrastructure, monitoring, logging, ci/cd, reliability and everything in between!
Added 5 months ago
CS
DevOps Engineer - New Grad 2026
Cerebras Systems
Remote, Canada
- Full-time
- Remote
As a New Graduate Software Engineer, you will collaborate with world-class engineers to solve real-world challenges across the software stack. You will contribute to software systems that…
Added 4 months ago
B
AI and Data Engineer
Blend360
Edmonton, Alberta
- Full-time
3–5 years of hands-on experience in software engineering, data engineering, ML engineering, or a closely related role

iManage

Senior AI Engineer

Toronto, ON, Canada

Full-time

Apply 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 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 scalable AI applications on GPU and Kubernetes-based cloud infrastructure.

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 to production and proficiency in Python and modern AI frameworks.

Skills

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

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 Training Access

Visa sponsorship

Not detected in the job text

Keywords

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

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