AI Engineer

Artificial Intelligence, Bengaluru, India

Job Summary

AI Engineer

Role Overview

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.

Responsibilities

• LLMs 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

Requirements

• 2-3 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.
• Familiarity with embedding-based search, semantic retrieval, and transformer models (e.g., OpenAI, Hugging Face).
• Familiarity with microservices, REST APIs, and cloud platforms (AWS, GCP, Kubernetes, Docker, etc.).
• Familiarity with observability, ITOps, or monitoring platforms is a plus.
• 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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.