Staff Software Engineer (AI/ML)

Position Summary:

• 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

Required Qualification:

• 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

Preferred Qualification:

• 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