Senior AI Engineer
LogicMonitor (company site, opens in a new tab)5–8 yrsBengaluruOn-siteDirect career pageEst. 30–45 LPA
Posted 11h ago
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Job description
Structured overview of role & requirements
About This Role
- Design and build advanced AI capabilities for Edwin AI platform focusing on incident summarization, alert correlation, anomaly explanation, root-cause analysis, and guided remediation workflows.
- Develop production-grade LLM applications using retrieval-augmented generation, prompt orchestration, agentic workflows, and multi-step reasoning pipelines.
- Collaborate closely with cross-functional teams to ensure AI workflows are accurate, explainable, secure, and operationally reliable in production environments.
Minimum Requirements
- Bachelor's degree in Computer Science, Machine Learning, Data Science, Software Engineering, or related technical field, or equivalent practical experience.
- 5–8+ years experience in software engineering, machine learning engineering, AI engineering, data engineering, or backend systems.
- Strong programming skills in Python and experience with production-grade AI services, APIs, and pipelines.
- Hands-on experience with LLM-powered applications using RAG, embeddings, vector search, prompt engineering, and AI orchestration frameworks such as LangChain, LangGraph, or LlamaIndex.
Ideal Candidate Profile
- Experienced in designing and operating complex, production-level AI workflows integrating LLMs with observability data and retrieval systems.
- Proficient in building and optimizing retrieval systems for high-scale AIOps use cases using vector databases and semantic search.
- Capable of bridging AI research and engineering by developing evaluation frameworks, ensuring AI safety, privacy, compliance, and delivering reliable, explainable AI results in customer-facing applications.