drjobs Senior MLOps Engineer (Agentic Systems)

Senior MLOps Engineer (Agentic Systems)

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1 Vacancy
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Job Location drjobs

Toronto - Canada

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Take your career to new heights with Loopio!

Were 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

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

Employment Type

Full-Time

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