AI/ML Engineer
LogicMonitorPune/Bengaluru, IndiaPosted 2 April 2026
Tech Stack
Job Description
About Us:
We love going to work and think you should too. Our team is dedicated to trust, customer obsession, agility, and striving to be better everyday. These values serve as the foundation of our culture, guiding our actions and driving us towards excellence. We foster a culture of performance and recognition, allowing us to transform growth as we enable our employees to do the best work of their careers.
This position is located in Bengaluru. You'll be working in a major tech center of Bengaluru, India. Across the globe, our Centers of Energy serve as hubs where we accelerate productivity and collaboration, inspire creativity, and cultivate a culture of connection and celebration. Our teams coordinate their time in Centers of Energy to reflect how they work best.
To learn more about life at LogicMonitor, check out our Careers Page .
What You'll Do:
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.
Our customers love LogicMonitor's ability to bring cloud and traditional IT together into one view, as seen in minimal churn rates, expansion business, and exciting new customer references. In fact, LogicMonitor has received the highest Net Promoter Score of any IT Infrastructure Management provider. LogicMonitor also boasts high employee satisfaction. We have been certified as a Great Place To Work®, and named one of BuiltIn's Best Places to Work for the seventh year in a row!
LM Envision, LogicMonitor's leading hybrid observability platform powered by AI, helps modern enterprises gain operational visibility into and predictability across their IT stacks, so they can continue to deliver extraordinary employee and customer experiences. LogicMonitor has a layered approach to intelligence, where AI and Machine Learning is baked into every facet of the LM Envision platform to help IT teams improve efficiency, minimize alert fatigue, proactively predict trends, and maximize enterprise growth and transformation.
We are seeking an AI/ML Engineer to join the Edwin AI team. In this key role, you will design, build, and deploy AI-powered solutions that enhance observability, automation, and insights across LogicMonitor’s platform. You will be responsible for developing some NLP models, generative AI solutions, and AI-driven analytics that drive automation and efficiency. You will 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.
Here's a closer look at this key role:
LLM NLP-Powered Insights for Observability: 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.
AI-Powered Search Observability Context Awareness: Develop semantic search and context-aware retrieval solutions to help IT teams quickly find relevant data, logs, and metrics.
Scalability Deployment in Cloud Environments: Optimize AI models for real-time performance in distributed, cloud-native environments (AWS, GCP, Kubernetes, etc.).
Collaboration Thought Leadership: Work cross-functionally with platform engineers, product teams, and data scientists to align AI-driven features with customer needs.
AI first attitude : Stay ahead of AI/ML advancements
What You'll Need:
2-3 years of experience in AI/ML engineering, with a focus on generative AI, a ... (truncated, view full listing at source)
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