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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
Responsibilities
- 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
Additional Responsibilities
- Work in a distributed, async-first team across multiple time zones
- Support coverage across 40+ MSP tool APIs
Nice To Have
- 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
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