Generative ai engineer

1 day ago

Jamnagar, India Tata Consultancy Services Full time

Job Title: AI Ops Engineer Location: Pan India Experience: 5-8 Years About the Role We are looking for an AI Ops Engineer to support and optimize Agentic AI, Gen AI, and LLM applications in production environments. This role involves working with cutting-edge AI architectures, operational workflows, and automation strategies to ensure reliability and scalability of AI-driven systems. Key Responsibilities Build and manage CI/CD pipelines for Agentic AI deployments. Deploy and monitor LLMs, RAG pipelines, and agentic AI systems in containerized environments. Design and fine-tune prompts for various AI use cases. Operate, troubleshoot, and optimize agentic AI applications across multi-step pipelines and asynchronous agents. Develop diagnostics and playbooks for LLM-driven failures , including fallback strategies and human-in-the-loop workflows. Collaborate with architects and AI developers to optimize orchestration across platforms like Lang Graph, AWS Bedrock Agents, Crew AI, Auto Gen . Integrate agentic systems with enterprise apps (Jira, Service Now, Confluence ) using REST APIs and webhooks. Implement observability and logging best practices for model outputs, latency, and agent performance . Contribute to self-healing mechanisms and alerting strategies for production-grade AI workflows. Must-Have Skills Experience supporting Agentic AI, Gen AI, or LLM applications in production. Exposure to agentic AI architectures (Lang Graph, AWS Bedrock Agents, Auto Gen, Crew AI). Strong foundation in prompt engineering and experience with LLMs (GPT, Claude, LLa MA ). Hands-on experience in Dev Ops/MLOps and AI workflows. Familiarity with Python, Bash , RESTful APIs, MCP , and AWS cloud environments. Knowledge of vector databases (Open Search/FAISS), SQL (Postgres) , No SQL (Dynamo DB) , and Graph DBs (Neptune) . Understanding of containerization, orchestration , and monitoring tools (Prometheus, Grafana, ELK ). Exposure to security and compliance standards in model lifecycle management. Good-to-Have Experience with Angular deployments and advanced automation strategies.

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