AI/ML Engineer — Agentic AI Systems
Toronto, Ontario
- Pay
CAD 160,000–240,000/year · BaseLocation-specific pay — pay source
Compensation Range 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.
Read the full posting- Work setup
- Unconfirmed
- Employment
Full-time — employment source
AI/ML Engineer — Agentic AI Systems Locations: Toronto Employment Type: Full-time Why Kaseya?
Read the full posting
What you’ll bring
All qualificationsCore experience
- 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 experience
- 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
Qualification wording
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
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
Tools in this posting
- Python
- ClickHouse
- Kafka
Source — Tool mentions in context
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 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 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
About Kaseya Careers
Kaseya is the leading provider of AI-powered IT management and cybersecurity software, serving Managed Service Providers (MSPs) and internal IT organizations worldwide.
In the employer’s words · Read in context
Job 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.
AI/ML Engineer — Agentic AI Systems
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
Compensation Range
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
Kaseya provides equal employment opportunity to all employees and applicants without regard to race, religion, age, ancestry, gender, sex, sexual orientation, national origin, citizenship status, physical or mental disability, veteran status, marital status, or any other characteristic protected by applicable law.
Additional information
Kaseya provides equal employment opportunity to all employees and applicants without regard to race, religion, age, ancestry, gender, sex, sexual orientation, national origin, citizenship status, physical or mental disability, veteran status, marital status, or any other characteristic protected by applicable law.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on www.kaseya.com. The employer’s form will show what is required.
Already applied? Track this application
Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Compensation Range 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.
- Location & working pattern
Toronto, Ontario
Working pattern and location restrictions need checking in the full posting.
- Work authorization
Additional Information Kaseya provides equal employment opportunity to all employees and applicants without regard to race, religion, age, ancestry, gender, sex, sexual orientation, national origin, citizenship status, physical or mental disability, veteran status, marital status, or any other characteristic protected by applicable law. Additional information Kaseya provides equal employment opportunity to all employees and applicants without regard to race, religion, age, ancestry, gender, sex, sexual orientation, national origin, citizenship status, physical or mental disability, veteran status, marital status, or any other characteristic protected by applicable law.
- Status in our records
- Active
- First seen by us
- Aug 25, 2026
- Recorded sightings
- 30
- Last seen by us
- Sep 28, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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