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. 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 Applying modern engineering practices for production AI systems, including containerized services, CI/CD pipelines, model and version tracking, and release governance Contributing to best practices and standards for AI engineering across the team 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 ~ Bonus Points If I Have… Experience with distributed training frameworks (e.g.,Familiarity with AI/ML observability tools and model lifecycle management best practices 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. 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.

Expand my skill set and earn certifications with unlimited access to LinkedIn Learning courses and interactive Microsoft courses & training. 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.





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%. Providing me with a versatile 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.

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. 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. 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. Please seeour recruitment privacy statement for more information on how we handle your personal data. #

📌 Remote AI Engineer (Toronto)
🏢 imanagecom
📍 Toronto