AI/ML Engineer — Agentic AI Systems

Description

About Kaseya

Kaseya is the leading provider of AI-powered IT management and cybersecurity software, serving Managed Service Providers (MSPs) and internal IT organizations worldwide. Our comprehensive platform helps organizations efficiently manage, secure, and automate their IT environments, driving operational efficiency and long-term business success.

Backed by Insight Partners , a leading global software investor, Kaseya has experienced sustained double-digit growth and continues to expand its global footprint. Today, Kaseya supports customers in more than 20 countries and manages over 15 million endpoints worldwide.

Founded in 2000, Kaseya was built by builders - and we're still building. We look for people who create rather than wait, who see a hard problem and lean in, and who treat challenges as raw material. At Kaseya, everyone plays a role in shaping the future of IT: whether you're in engineering, product, sales, marketing, customer support, or operations, your work helps protect, defend, and optimize IT environments across the globe.

We're building teams that grow, perform, and make an impact. If you're driven by the itch to make things better - a product, a process, a career - you'll fit right in.

At Kaseya, we don't just raise the bar. We build it.

Locations: Toronto

Employment Type: Full-time

Why Kaseya?

Join a fast-growing company that’s transforming the IT industry. At Kaseya, you’ll have the opportunity to work with cutting-edge technology, collaborate with a dynamic team, and develop your career in a highimpact role.

Join the Kaseya growth rocket ship and see how we are ChangingLives!

Job Summary

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.

Roles & 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

Required Qualifications

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

Preferred Qualifications

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

Conditions

The base salary range for this job is CAD $160,000 – $240,000 / year.

An individual’s base pay depends on various factors including geographical location and review of experience, knowledge, skills, and abilities of the applicant. At Kaseya, certain roles are eligible for benefits and additional rewards. These rewards are allocated based on individual impact in role. In addition, 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.

Additional Information

Additional information