Staff Software Engineer (AI/ML)

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. 

• Kaseya is looking for an AI/ML Engineer to help build the intelligence layer of the Kaseya Intelligence Platform (KIP), an agentic AI runtime designed to autonomously manage IT operations for Managed Service Providers (MSPs). This is a hands-on engineering role at the intersection of Applied ML, LLMs, agentic AI, anomaly detection, and distributed systems.
• Build and iterate on agentic AI workloads that orchestrate vendor API calls, interpret PSA/RMM signals, and make autonomous decisions across MSP client environments
• Develop behavioral anomaly detection models that baseline per-workflow-identity call patterns, credential checkout volumes, and cross-vendor sequences: and flag deviations in real time
• Implement agentic-specific detection signals: tool call sequence anomalies, scope escalation attempts, decision branching inconsistencies, and output volume outliers
• Build harnesses and evaluation frameworks using tools like Amazon Bedrock, LangChain, and LangFuse to assess model quality, latency, and safety
• Read and translate research papers into production implementations: this role requires comfort navigating ML literature and turning concepts into working systems
• Contribute to connector codegen pipelines: agentic coding against vendor OpenAPI specs to accelerate Safe Connector Layer coverage across 40+ MSP tool APIs
• Work with the Temporal durable execution runtime to ensure agentic workloads behave predictably under failure, retry, and partial execution conditions

• Strong Programming/engineering skills; experience with LLM orchestration frameworks (LangChain, LlamaIndex, or similar)
• Hands-on experience with at least one major model provider (Bedrock, OpenAI, Vertex AI)
• Ability to read ML/systems research papers and extract implementable patterns
• Experience building evaluation harnesses, test suites, or benchmark pipelines for model or agent behavior
• Familiarity with behavioral anomaly detection, time-series analysis, or statistical baselining is a strong plus
• Experience with event-driven architectures (Kafka or similar) preferred
• Comfort working in a distributed, async-first team across multiple time zones

• Prior work in workflow automation, or enterprise security tooling
• Experience with ClickHouse or other columnar stores for analytics workloads
• Familiarity with Temporal or other durable workflow engines