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Specialized ML/agent role reduces broad applicant competition despite metro location and attractive title.
Requires specialized ML/LLM and agentic automation experience, limiting cross-industry portability.
Multiple mandatory ML, LLM orchestration, and distributed-systems skills imply rigorous technical filtering.
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Develop and iterate agentic AI workloads for autonomous IT operations management across MSP client environments.
Build behavioral anomaly detection models and implement agentic-specific detection signals to identify deviations and inconsistencies in real-time.
Design and maintain evaluation frameworks using platforms like Amazon Bedrock, LangChain, and LangFuse to assess AI model quality, latency, and safety.
Proficient programming and engineering skills with experience in LLM orchestration frameworks (e.g., LangChain, LlamaIndex).
Hands-on experience with at least one major model provider like Amazon Bedrock, OpenAI, or Vertex AI.
Ability to read and implement concepts from ML/systems research papers.
Experience in building evaluation harnesses, test suites, or benchmark pipelines for AI models or agent behavior.
Experienced working at the intersection of applied ML, agentic AI, anomaly detection, and distributed systems, especially in asynchronous, distributed team environments.
Familiar with behavioral anomaly detection, time-series analysis, and event-driven architectures such as Kafka.
Background in workflow automation, enterprise security tooling, and familiarity with durable workflow engines (e.g., Temporal) and analytics databases (e.g., ClickHouse).