LLM, Agentic AI, Langraph, Python

6 days ago

pune, India Jade Global Full time

Job Title: AI Ops EngineerExperience:4+ years relv expAbout the RoleWe are seeking a hands-on and proactive AI Ops Engineer to operationalize andsupport the deployment of large language model (LLM) workflows, including agentic AIapplications, across Marvell’s enterprise ecosystem.This role requires strong prompt engineering capabilities, the ability to triage AI pipelineissues, and a deep understanding of how LLM-based agents interact with tools,memory, and APIs. You will be expected to diagnose and remediate real-time problems,from prompt quality issues to model behavior anomalies.Key Responsibilities Design, fine-tune, and manage prompts for various LLM use cases tailored to Marvell’senterprise operations. Operate, monitor, and troubleshoot agentic AI applications, including identifying whetherissues stem from: Prompt quality or structure Model configuration or performance Tool usage, API failures, or memory/recall issues Build diagnostics and playbooks to triage LLM-driven failures, including handling fallbackstrategies, retries, or re-routing to human workflows. Collaborate with architects, ML engineers, and DevOps to optimize agent orchestrationacross platforms like LangGraph, CrewAI, AutoGen, or similar. Support integration of agentic systems with enterprise apps like Jira, ServiceNow, Glean, orConfluence using REST APIs, webhooks, and adapters. Implement observability and logging best practices for model outputs, latency, and agentperformance metrics. Contribute to building self-healing mechanisms and alerting strategies for production-gradeAI workflows.Required Qualifications 3–6 years of experience in software engineering, DevOps, or ML Ops with exposure toAI/LLM workflows. Strong foundation in prompt engineering and experience with LLMs like GPT, Claude,LLaMA, etc. Practical understanding of AIOps platforms or operational AI use cases (incident triage,log summarization, root cause analysis, etc.). Exposure to agentic AI architectures, such as LangGraph, AutoGen, CrewAI, etc. Familiarity with scripting (Python), RESTful APIs, and basic system debugging. Strong analytical skills and the ability to trace issues across multi-step pipelines andasynchronous agents.Good-To-Have Glean DevRev Codium Cursor Atlassian AI Databricks Mosaic AI

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