About the role
AI Ops Engineer (Agentic AI / GenAI)
Location: PAN India
Experience: 5–10 Years
We are looking for an AI Ops Engineer with experience in Agentic AI, GenAI, and LLM-based applications to support, optimize, and automate AI solutions in production environments. The ideal candidate will have expertise in AI operations, MLOps/DevOps, cloud platforms, and AI observability.
Key Responsibilities- Deploy, monitor, and troubleshoot Agentic AI, LLM, and RAG-based applications.
- Build and manage CI/CD pipelines for AI and Agentic AI deployments.
- Optimize prompts, model configurations, and agent workflows.
- Implement observability, logging, alerting, and performance monitoring for AI systems.
- Diagnose and resolve issues related to models, APIs, tool integrations, and agent orchestration.
- Integrate AI solutions with enterprise platforms using REST APIs and webhooks.
- Collaborate with architects and AI developers to enhance scalability, reliability, and performance.
- 3–6 years of experience in AIOps, MLOps, DevOps, or Platform Engineering.
- Hands-on experience supporting GenAI, LLM, RAG, or Agentic AI applications.
- Knowledge of LangGraph, AWS Bedrock Agents, CrewAI, AutoGen, or similar frameworks.
- Strong understanding of GPT, Claude, Llama, and prompt engineering.
- Experience with Python, Bash, REST APIs, MCP, and AWS cloud services.
- Familiarity with OpenSearch/FAISS, PostgreSQL, DynamoDB, Neptune, and monitoring tools (Prometheus, Grafana, ELK).
- Understanding of containerization, orchestration, security, and compliance practices.
- Strong troubleshooting, analytical, and communication skills.
- Experience with Jira, ServiceNow, Confluence integrations.
- Exposure to self-healing AI systems and enterprise AI platforms.