Senior AI Engineer

iManage; Toronto; On-site; CAD 120,000 - 170,000; Full time

Job summary

iManage is seeking a Senior AI Engineer to build and deploy AI systems at scale, collaborating with the Applied AI team to power the enterprise work platform. You’ll work on AskiManage, document classification, extraction, and LLM-driven features that help knowledge workers search, organize, and understand critical information.

You will own model development and production deployment, leveraging GPUs, Kubernetes, and cloud infrastructure to balance latency, scalability, and cost while delivering

Qualifications

• 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 traditional ML and generative AI/transformer architectures
• 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
• Ability to work across teams, communicate with precision, and own from prototype to production

Responsibilities

• Own the end-to-end ML lifecycle for AI systems from model development to scalable production serving
• Deploy and optimize ML/AI systems on GPUs and Kubernetes-based cloud infrastructure
• Design and implement production-ready LLM applications and APIs with monitoring and testing built in
• Apply modern engineering practices for production AI systems, including containerized services, CI/CD, and model/version tracking
• Collaborate with product and business stakeholders to translate requirements into technical solutions
• Conduct code reviews and provide feedback to team members
• Contribute to best practices and standards for AI engineering across the team

Skills

ML/AI engineering

Python programming

PyTorch

Hugging Face

Kubernetes

GPU optimization

LLM systems

Communication

Education

Bachelor’s / Master’s / Ph.D. in CS / ML / DS / AI

Tools

AKS

Kubernetes

Docker

Azure

AWS

GCP

LangChain

LlamaIndex

vLLM

Ray

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 atiManageMeans…

You are passionate about building and deploying AI systems that workatscale in production. You will work within the Applied AI team alongside engineers, data scientists, and product stakeholders to develop the AI capabilities that poweriManage’senterprise work platform, including AskiManage, our generative AI document assistant, as well as document classification, extraction, andLLM-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 infrastructurerequiredto ship it reliably, and you thrive at the intersection of machine learning, software engineering, and cloud infrastructure.

iMResponsible 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 andoptimizingML/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-readyLLMapplications 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 intoviabletechnical solutions
• Conducting code reviews and providing constructive feedback to team members
• Contributing to best practices and standards for AI engineering across the team

iMQualified 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
• Deepproficiencyin Python and modern AI frameworks, includingPyTorchand 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) tooptimizesystems 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.,PyTorchDistributed, Ray) and inference optimization tools (e.g.,vLLM,SGLang)
• Experience with agentic engineering, including agent harness and agent memory, and orchestration frameworks such asLangChain,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 [e-mail] 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.

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. Learn more at: www.imanage.com Please seeour recruitment privacy statement for more information on how we handle your personal data.