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LogicMonitor Logo LogicMonitor · IT - Software Development

Senior AI/ML Engineer

India, Pune · Job Posted February 14, 2026
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Job Description

LogicMonitor® is the AI-first hybrid observability platform powering the next generation of digital infrastructure. LogicMonitor delivers complete visibility and actionable intelligence across on-premises, cloud, and edge environments. By anticipating issues before they strike, optimizing resources in real time, and enabling faster, smarter decisions, LogicMonitor helps IT and business leaders protect margins, accelerate innovation, and deliver exceptional digital experiences without compromise.

Job Responsibility

  • Design, build, and deploy AI-powered solutions that enhance observability, automation, and insights across LogicMonitor’s platform
  • Develop some NLP models, generative AI solutions, and AI-driven analytics that drive automation and efficiency
  • Work closely with cross-functional teams, including product, engineering, and infrastructure teams, to integrate state-of-the-art AI models into LogicMonitor’s observability platform
  • Build and optimize large language model (LLM)-based solutions that generate human-readable incident reports, root cause explanations, and remediation suggestions
  • Leverage retrieval-augmented generation (RAG) to surface relevant documentation, logs, and knowledge base insights for IT teams
  • Develop semantic search and context-aware retrieval solutions to help IT teams quickly find relevant data, logs, and metrics
  • Optimize AI models for real-time performance in distributed, cloud-native environments (AWS, GCP, Kubernetes, etc.)
  • Work cross-functionally with platform engineers, product teams, and data scientists to align AI-driven features with customer needs
  • Stay ahead of AI/ML advancements

Requirements

  • 4-5 years of experience in AI/ML engineering, with a focus on generative AI, and AI-driven automation and NLP
  • Strong proficiency in Python, Java, or similar languages for AI model development and deployment
  • Hands-on experience with LLMs, RAG (Retrieval-Augmented Generation), and prompt engineering
  • Expertise in embedding-based search, semantic retrieval, and transformer models (e.g., OpenAI, Hugging Face)
  • Experience with microservices, REST APIs, and cloud platforms (AWS, GCP, Kubernetes, Docker, etc.)
  • Strong understanding of search algorithms, ranking techniques, and text clustering methods
  • Strong problem-solving skills with the ability to drive innovation in AI-powered observability solutions
  • Excellent communication and collaboration skills, with experience working in cross-functional teams

Nice to have

Familiarity with observability, ITOps, or monitoring platforms is a plus

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