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You will be updated with latest job alerts via emailWere looking for a Senior MLOps Engineer to help design scale and productionize the next generation of ML and agentic AI this role youll not only build pipelines and infrastructure but also architect and deploy agent-driven solutions that power intelligent search content automation and next-gen copilots.
This position blends MLOps expertise with applied AI engineering giving you the opportunity to design robust architectures operationalize state-of-the-art agent frameworks and contribute to high-impact systems in production.
What Youll Be Doing
Architecting Solutions
Design and architect world-class technical solutions leveraging cloud technologies and modern development tools
Set and uphold high standards for technical architectures systems design and operational excellence
Drive system reliability scalability and maintainability across ML and agent deployments
Agentic Infrastructure & Deployment
Build pipelines for training evaluation deployment and monitoring of ML models and agent workflows
Deploy agents and models into production with Docker Kubernetes and CI/CD systems
Extend CI/CD to LLMOps including IaC automation (Terraform) and safe release strategies
Monitoring & Reliability
Implement observability for models and agents: health metrics drift detection and behavioral monitoring
Build dashboards and alerting to ensure trust in deployed ML/agent systems
Support reproducibility and governance for ML/agent lifecycle management
Collaboration & Support
Partner with ML Engineers Data Scientists and Backend Engineers to operationalize ML and agent solutions
Build shared libraries reusable infrastructure components and tools that enhance developer experience
Share technical proposals mentor peers and contribute to a culture of engineering excellence
What Youll Bring to the Team
MLOps Experience
4 years of experience in MLOps ML engineering or similar roles contributing to the design and implementation of applications and infrastructure
Hands-on experience deploying ML systems to production and managing end-to-end ML pipelines
Cloud & Infrastructure Skills
Strong expertise in AWS (or similar cloud environments) Docker and Kubernetes
Experience with workflow orchestration tools such as Airflow Dagster or Kubeflow
Familiarity with deployment and monitoring tools such as MLflow SageMaker TensorFlow Serving or TorchServe and experience with drift detection systems
Software Engineering Foundation
Strong Python development skills with a solid understanding of software engineering practices (testing logging version control code review)
Experience developing APIs or services using frameworks such as Flask or FastAPI
Agent & LLM Systems
Familiarity with frameworks such as LangChain and LlamaIndex with practical experience integrating agentic workflows (planning memory tool use orchestration)
Experience with Retrieval-Augmented Generation (RAG) LLMOps practices and prompt engineering/tuning for production use cases
Collaboration & Mindset
Strong communicator who works effectively across teams and mentors peers
Proactive growth-oriented and motivated to advance applied AI and agent systems in production
Where Youll Work
Loopio is a global company HQd in Canada that embraces flexible and effective work models. While many of our teams operate remotely this role is part of a new strategic product team that will work in a hybrid model to accelerate innovation and foster deep collaboration.
For this role you will be based in our Toronto Ontario hub with the expectation of working from our co-working space in downtown Toronto 3 days per week. This approach is intentionally designed to give you the best of both worlds: high-impact in-person collaboration with your team to drive impactful product initiatives and the flexibility of focused work-from-home days.
Our co-working space located in the heart of Downtown Toronto and a 12-minute walk from Union Station
Our employees (or Loopers as we call ourselves!) live and work in Canada (British Columbia and Ontario) London and India (specifically in Gujarat Maharashtra and Bengaluru).
Youll collaborate with your teams virtually across the UK India and North America (were just a Zoom call and Slack message away!) with core sync hours and focus time for headsdown work during the workday
We encourage asynchronous collaboration to effectively work as a global #OneTeam!
Why Youll Working at Loopio
Your manager supports your development by providing ongoing feedback and regular 1-on-1s we leverage Lattice for our 1:1s and performance conversations
You will have the opportunity to elevate your craft and the opportunity to explore your creativity with a dedicated professional mastery allowance for more learning support! We encourage experimentation and innovative thinking to drive business impact.
We offer a wide range of health and wellness benefits to support your physical and mental well-being starting day 1 with Loopio.
Well set you up to work remotely with a MacBook laptop a monthly phone and internet subsidy and a work-from-home budget to help get your home office all set up.
Youll be joining a supportive culture that has thoughtfully built out opportunities for connections in a remote first environment.
Participate in townhalls AMA (Ask-Me-Anything) and quarterly celebrations to celebrate the big wins and milestones as #oneteam!
Our four active Employee Resource Groups offer opportunities for employees to learn and connect year-round.
Youll be a part of an award-winning workplace with an opportunity to make a big impact on the business.
Questioning your qualifications Read this Hi there we recognize that all too often potential candidates dont apply for a position simply because they dont hit every single criteria included in the job descriptionparticularly members of underrepresented groups.
Whether or not your experience checks off all the boxes on a job posting we still encourage you to apply to ensure that your application receives a review from our team. We understand that a resume can only showcase so much during the applicant stage so weve created prompts in the application for you to share more about yourself. If youve made a career transition (or a few!) youre self taught in a new role or you have skills/experience youd like to highlight we want to hear more about what you could bring to the table.
AI in Recruitment At Loopio we leverage artificial intelligence (AI) technology to enhance our recruitment process. These tools assist with tasks such as resume screening drafting preliminary job descriptions generating initial interview questions and occasionally sourcing prospective candidates. However AI is never used to make final hiring decisions; our use of AI serves to support repetitive and administrative tasks in order to streamline our hiring and recruitment workflows. We are committed to the responsible use of AI in our hiring practices prioritizing both an improved candidate experience and operational efficiency. Our standardized hiring practices remain focused on reducing biases with all key hiring decisions solely made by our team. We continuously review and refine our hiring practices to align with industry best practices and evolving legal guidelines
Loopio is an equal opportunity employer that is deeply committed to building equitable workplaces that are diverse and inclusive. We actively encourage candidates from all backgrounds and lifestyles to consider us as a future employer. Please contact a member of our Talent Experience team () should you require accommodations at any point during our virtual interview processes.
Required Experience:
Senior IC
Full-Time