Senior MLOps Engineer (Agentic Systems) at Loopio

Toronto, Ontario, Canada

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

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
Based in Toronto, Ontario, with expectation of working from co-working space 3 days per week (hybrid model)

Responsibilities

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

Skills

MLOps

Docker

Kubernetes

CI/CD

Terraform

IaC

LLMOps

Observability

Drift Detection

Model Deployment

Model Monitoring

Agentic AI

Loopio

RFP response software for enterprises

About Loopio

Loopio specializes in simplifying the process of responding to Requests for Proposals (RFPs), Requests for Information (RFIs), Due Diligence Questionnaires (DDQs), and Security Questionnaires. Its main product is RFP response software that helps businesses manage and automate the intricate task of creating high-quality responses. The software features a smart content management system that organizes a company's knowledge base, making it easy for teams to collaborate, assign tasks, and review projects efficiently. Loopio operates on a subscription-based model, allowing clients to access its software and tools for a recurring fee. This model helps clients save time and improve the quality of their responses, enabling them to win more business. Loopio stands out from competitors by focusing on enhancing collaboration and efficiency for medium to large enterprises across various industries, including technology, healthcare, and finance.

Toronto, CanadaHeadquarters

2014Year Founded

$203MTotal Funding

GROWTH_EQUITY_VCCompany Stage

Data & Analytics, Consulting, Enterprise SoftwareIndustries

201-500Employees

Benefits

Remote Work Options

Hybrid Work Options

Phone/Internet Stipend

Professional Development Budget

Risks

Increased competition from established players like SAP threatens Loopio's market share.

Potential over-reliance on CRM integrations poses risks if policies change.

Recent layoffs may indicate internal financial or strategic challenges.

Differentiation

Loopio integrates seamlessly with CRM systems like Salesforce and HubSpot.

The Response Management Loop Framework offers a holistic approach to proposal management.

Loopio's smart content management system centralizes and organizes knowledge efficiently.

Upsides

Growing demand for AI-driven content management boosts Loopio's market potential.

Integration with CRM systems streamlines sales and proposal workflows.

Expansion into new markets enhances Loopio's global presence and capabilities.

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