2 months ago
Toronto, CanadaSenior
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 and signals for scope escalation, abnormal decision paths, unexpected tool usage, and output-volume anomalies.
- Build evaluation harnesses and benchmark pipelines for model and agent quality, latency, reliability, and safety.
- Translate 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 supporting retries, partial failures, recovery, and long-running workflows.
- Partner with Platform, Security, and Product teams on monitoring, fallbacks, permissions, guardrails, and auditability.
Requirements
- Experience developing and operating production AI or machine learning systems using Python or a comparable programming language.
- Experience building LLM or agent workflows with 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 behavior.
- Experience implementing machine learning or systems research techniques in production software.
- Preferred: experience with behavioral anomaly detection, time-series analysis, statistical baselining, or outlier detection.
- Preferred: experience with event-driven systems using Kafka or similar messaging technologies.
- Preferred: experience with Temporal or another durable workflow orchestration platform.
- Preferred: experience with ClickHouse or another columnar analytics data store.
- Preferred: experience with API integrations, OpenAPI tooling, connector-generation pipelines, workflow automation, enterprise security products, MSP tooling, or IT operations platforms.
Benefits
- Full-time position located in Toronto.
- Certain roles may be eligible for benefits and additional rewards, with rewards allocated based on individual impact.
- Some roles may offer sales incentives based on revenue or utilization, depending on the role and plan terms.
Tech Stack
Categories
About Kaseya
Kaseya builds IT management and cybersecurity software for managed service providers and internal IT teams, delivered as a unified, subscription-based platform covering RMM, PSA, backup, endpoint protection, and SOC services. Founded in 2000 and headquartered in Miami, it is privately held and backed by Insight Partners. The company expanded its portfolio with acquisitions including Datto, and is used by MSPs and SMBs to automate and secure infrastructure.