AI Engineer

Job description

TCS Hiring for AI Engineer AI Ops Engineer (Agentic AI / GenAI)

Location

PAN India Experience: 5–10 Years

Job Summary

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.

Required Skills

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. Good to Have Experience with Jira, ServiceNow, Confluence integrations. Exposure to self-healing AI systems and enterprise AI platforms.

Qualifications

BACHELOR OF COMPUTER APPLICATION, BACHELOR OF COMPUTER SCIENCE, BACHELOR OF ENGINEERING