Staff Software Engineer (AI/ML)

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• Staff Software Engineer (AI/ML)
• Kaseya Careers
• Pune
• 8-12 years
• 1 day ago
• $25.3K–38.6K/yr
• Full-time
• Onsite

Skills Required

• LLM
• Agentic AI
• LangChain
• LlamaIndex
• OpenAI
• RAG
• Amazon Bedrock
• LangFuse
• Vertex AI
• behavioral anomaly detection
• time-series analysis
• statistical baselining
• Apache Kafka
• ClickHouse
• Temporal

Description

Kaseya is a leading provider of AI-powered IT management and cybersecurity software, serving MSPs and internal IT organizations worldwide. The company is seeking an AI/ML Engineer to build the intelligence layer of the Kaseya Intelligence Platform, focusing on agentic AI and autonomous IT operations management.

Company: Kaseya

Role: AI/ML Engineer

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

• Build and iterate on agentic AI workloads that orchestrate vendor API calls and interpret PSA/RMM signals
• Develop behavioral anomaly detection models for workflow-identity call patterns and flag deviations in real time
• Implement agentic-specific detection signals including tool call sequence anomalies and decision branching inconsistencies
• Build harnesses and evaluation frameworks to assess model quality, latency, and safety
• Translate research papers into production implementations
• Contribute to connector codegen pipelines for vendor OpenAPI specs
• Work with Temporal durable execution runtime to ensure predictable agentic workload behavior under failure and retry conditions

• Work in a distributed, async-first team across multiple time zones
• Support coverage across 40+ MSP tool APIs

• Familiarity with behavioral anomaly detection, time-series analysis, or statistical baselining
• Experience with event-driven architectures (Kafka or similar)
• 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
  More Skills
• Applied ML, anomaly detection, distributed systems, LLM orchestration frameworks, Temporal durable execution runtime, event-driven architectures
• Prepare for this role
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