AI/ML Engineer — Agentic AI Systems

Résumé du poste

Build the intelligence layer of the Kaseya Intelligence Platform by developing agentic AI workflows and behavioral anomaly detection models. Coordinate AI actions across vendor platforms and integrate workloads with durable execution platforms for production stability.

Détails du poste

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 has built a culture centered around innovation, accountability, and results. We are a high-growth, high-performance organization that values individuals who are driven, adaptable, and committed to delivering exceptional outcomes for our customers and teammates alike. At Kaseya, success comes from embracing challenges, moving with urgency, and continuously raising the bar. 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.

Ce que vous ferez

Build the intelligence layer of the Kaseya Intelligence Platform by developing agentic AI workflows and behavioral anomaly detection models. Coordinate AI actions across vendor platforms and integrate workloads with durable execution platforms for production stability.

Exigences

Requires professional experience developing production AI/ML systems using Python and orchestration frameworks like LangChain or LlamaIndex. Candidates must have experience integrating major model providers and building evaluation pipelines for agent behavior.

Compétences indiquées

• Apprentissage automatique · Souhaitée
• Python · Souhaitée

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Python
• LangChain
• LlamaIndex
• Amazon Bedrock
• OpenAI
• Vertex AI
• Agentic AI
• Machine Learning
• Behavioral Anomaly Detection
• Temporal
• Kafka
• ClickHouse
• OpenAPI
• LLM Orchestration
• Production Software Engineering
• Evaluation Harnesses

Domaines d’emploi

• Software
• Technology
• Engineering
• Data & Analytics
• Security & Safety