LogicMonitor
AI Engineer
ClosedThis opening has closed. New ones like it are posted on WhatsApp every day.
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- Bengaluru
- Work mode
- Office
- Experience
- 2–3 years
- Pay
- ₹18–30 LPA (Est.)
- Type
- Full-time job, AI & ML
- Added
- 29 September 2026
About this role
LogicMonitor is an AI-first hybrid observability platform, and the Edwin AI team applies large language models to monitoring data. This AI Engineer role is in Bengaluru. The engineer builds and deploys LLM, NLP and generative AI features such as incident reports, root cause explanations and remediation suggestions. The work also covers semantic search and context-aware retrieval over logs, metrics and documentation, plus optimising models for cloud environments. The engineer collaborates with product, platform engineering and data science teams. It suits engineers with two to three years of AI/ML experience.
LogicMonitor was hiring for AI Engineer, a full-time role based in Bengaluru (office).
Who can apply: 2–3 years. Skills: LLMs, RAG, Python, AWS/GCP.
This opening has closed (closed on 2026-10-14). Open roles like it are listed on this page and at hirastra.com/jobs.
What you'll do
- Build and optimise LLM-based solutions that generate incident reports, root cause explanations and remediation suggestions
- Use RAG to surface relevant documentation, logs and knowledge base content for IT teams
- Develop semantic search and context-aware retrieval for data, logs and metrics
- Optimise AI models for real-time performance in distributed, cloud-native environments
- Work with platform engineers, product teams and data scientists to align AI features with customer needs
What you need
- 2-3 years of AI/ML engineering experience, focused on generative AI, AI-driven automation and NLP
- Strong proficiency in Python, Java or similar languages
- Hands-on experience with LLMs, RAG and prompt engineering
- Familiarity with embedding-based search, semantic retrieval and transformer models
- Familiarity with microservices, REST APIs and cloud platforms such as AWS, GCP, Kubernetes and Docker
- Strong problem-solving, communication and collaboration skills
Skills
- LLMs
- RAG
- Python
- AWS/GCP
"Est." = Hirastra's estimate based on market data, not an official figure.
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