AI/ML Engineer — Agentic AI Systems

Kaseya Careers • Toronto, ON

12h • CA$160,000 - CA$240,000 • Onsite

About The Position

We’re hiring AI/ML Engineers to build the intelligence layer of the Kaseya Intelligence Platform, an agentic AI runtime designed to automate IT operations for Managed Service Providers. This hands-on role combines applied machine learning, agent orchestration, behavioral anomaly detection, and production software engineering. You’ll build AI systems that interpret operational signals, coordinate actions across vendor platforms, and operate safely and predictably under real production conditions.

Requirements

• Experience developing and operating production AI or machine learning systems using Python or a comparable programming language
• Experience building LLM or agent workflows using LangChain, LlamaIndex, or a similar orchestration framework
• Experience integrating Amazon Bedrock, OpenAI, Vertex AI, or another model provider into production applications
• Experience building evaluation harnesses, benchmark pipelines, or automated tests for model or agent behaviour
• Experience implementing techniques from machine learning or systems research in production software

Nice To Haves

• Experience with behavioral anomaly detection, time-series analysis, statistical baselining, or outlier detection
• Experience building event-driven systems using Kafka or similar messaging technologies
• Experience with Temporal or another durable workflow orchestration platform
• Experience with ClickHouse or another columnar data store used for analytics workloads
• Experience building API integrations, OpenAPI-based tooling, or connector-generation pipelines
• Experience with workflow automation, enterprise security products, MSP tooling, or IT operations platforms

Responsibilities

• Build agentic AI workflows that interpret PSA and RMM signals, coordinate vendor API calls, and support automated decision-making across customer environments
• Develop behavioral anomaly detection models using workflow activity, credential usage, tool-call sequences, and cross-platform interaction patterns
• Implement detection signals for scope escalation, abnormal decision paths, unexpected tool usage, and output-volume anomalies
• Build evaluation harnesses and benchmark pipelines to measure model and agent quality, latency, reliability, and safety
• Translate relevant machine learning and systems research into tested production implementations
• Contribute to OpenAPI-based connector generation and integration workflows across MSP, security, and IT management platforms
• Integrate AI workloads with durable execution platforms to support retries, partial failures, recovery, and long-running workflows
• Partner with Platform, Security, and Product teams to implement monitoring, fallbacks, permissions, guardrails, and auditability for AI-powered features

Benefits

• Certain roles are eligible for benefits and additional rewards.
• Additional rewards are allocated based on individual impact in role.
• Certain roles also have the opportunity to earn sales incentives based on revenue or utilization, depending on the terms of the plan and the employee’s role.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed