Senior MLOps Engineer, Loopio
Agentic Systems
3 days a week in office (Downtown Toronto)
AI-powered proposal request responses
Open for applications
AI-powered proposal request responses
201-500 employees
Open for applications
3 days a week in office (Downtown Toronto)
201-500 employees
Company mission
To help ambitious companies and people grow.
Role
Who you are
- 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
- 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
- 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
- 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
- Strong communicator who works effectively across teams and mentors peers
- Proactive, growth-oriented, and motivated to advance applied AI and agent systems in production
What the job involves
- We’re looking for a Senior MLOps Engineer to help design, scale, and productionize the next generation of ML and agentic AI systems
- In this role, you’ll 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
- 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
- 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
- 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
- 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
- You’ll collaborate with your teams virtually across the UK, India, and North America (we’re just a Zoom call and Slack message away!) with core sync hours and focus time for headsdown work 🏾 during the workday
Our take
Loopio provides RFP response software to companies in a variety of industries including healthcare, financial services and telecommunications. Its platform streamlines responses to proposal requests, requests for information and due diligence questionnaires, helping firms to improve sales efficiency and unlock growth opportunities.
The company boasts an impressive client list including DocuSign, PayPal and American Express. Loopio expects its client base to continue growing, bolstered by a 2023 independent study that shows that clients of the company can experience a three-year return on investment alongside almost $6 million in business benefits.
Loopio has used funding to accelerate product development and customer acquisition, as well as expand its team. It has also partnered with Door, a digital due diligence platform for asset management and research teams. This partnership exemplifies a mature caution in Loopio's expansion aims, helping them to keep in control of their growing business.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
9% employee growth in 12 months
Company
Funding (2 rounds)
Apr 2021
$200m
GROWTH EQUITY VC
Feb 2018
$8.7m
SERIES A
Total funding: $208.7m
Company benefits
- Robust Health Benefits
- Extended Parental Leave
- Employee Stock Options
- Professional Mastery Budget
- Weekly Loopio Socials
- Annual Company Retreat
- Generous Paid Time Off Program
- Team Wellness Activities
Company HQ
Chinatown, Toronto, ON
Leadership
Zak Hemraj
(Co-Founder & CEO)Progressed from Software Developer to Manager and Team Lead at Achievers within 8 years.
Matt York
(Co-Founder & CTO)Experience as Software Engineering Manager at Achievers, and Vice President of Engineering at Top Hat.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 5 more jobs at Loopio