This role requires strong prompt engineering capabilities the ability to triage AI pipeline issues 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 customer s enterprise operations Operate monitor and troubleshoot agentic AI applications including identifying whether issues 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 fallback strategies retries or re-routing to human workflows Collaborate with architects ML engineers and DevOps to optimize agent orchestration across platforms like LangGraph CrewAI AutoGen or similar Support integration of agentic systems with enterprise apps like Jira ServiceNow Glean or Confluence using REST APIs webhooks and adapters Implement observability and logging best practices for model outputs latency and agent performance metrics Contribute to building self-healing mechanisms and alerting strategies for production-grade AI workflows Required Qualifications 3-6 years of experience in software engineering DevOps or ML Ops with exposure to AI 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 and asynchronous agents Valuable-To-Have Glean DevRev Codium Cursor Atlassian AI Databricks Mosaic AI

📌 Ai Ops Engineer (Maharashtra)
🏢 Jade Global
📍 Maharashtra