AI DevOps Engineer

Job Title: AI-Enabled DevOps Engineer

Job Summary

We are looking for an experienced AI-Enabled DevOps Engineer with strong expertise in Cloud Infrastructure, CI/CD, DevOps Automation, and emerging AI technologies. The ideal candidate will have hands-on experience integrating AI capabilities, LLMs, RAG, and Agentic AI solutions into DevOps and engineering workflows to improve automation, operational efficiency, monitoring, and developer productivity.

Key Responsibilities

• Integrate AI, LLMs, RAG, and Agentic AI capabilities into CI/CD pipelines and DevOps workflows.
• Design, develop, and maintain custom AI bots, AI agents, and embedded AI solutions for engineering and operational automation.
• Set up, configure, and manage cloud infrastructure and project environments on AWS.
• Design, implement, and maintain CI/CD pipelines using Git-based development and deployment workflows.
• Automate infrastructure provisioning, configuration management, deployment, and maintenance activities.
• Develop Python and Linux/Shell scripts for operational support, troubleshooting, and repetitive task automation.
• Implement monitoring, logging, alerting, observability solutions, and operational dashboards.
• Identify opportunities to leverage AI for incident analysis, root-cause investigation, predictive monitoring, and operational support.
• Work with containerization and orchestration technologies, including Docker and Kubernetes.
• Implement Infrastructure as Code using Terraform, AWS CloudFormation, or similar tools.
• Troubleshoot infrastructure, deployment, application, and production issues.
• Follow security best practices, access controls, and DevSecOps standards.
• Evaluate emerging AI tools and frameworks to improve engineering productivity and operational reliability.

Mandatory Skills

• Artificial Intelligence (AI), Agentic AI, LLMs, and Retrieval-Augmented Generation (RAG).
• Python and Python frameworks for AI development.
• AWS cloud infrastructure and environment management.
• Cloud CI/CD pipeline design and implementation.
• DevOps automation and infrastructure management.
• Observability, monitoring, logging, alerting, and dashboard creation.
• Linux/Unix and Shell scripting.
• Docker and Kubernetes.
• Hands-on experience building or integrating AI agents, custom AI bots, or AI-powered automation solutions.

Required Experience

• Strong hands-on experience in DevOps, Cloud Engineering, and CI/CD automation.
• Practical experience implementing AI/LLM/Agentic AI capabilities in engineering or operational workflows.
• Experience managing cloud infrastructure and automating deployments.
• Strong scripting, troubleshooting, and problem-solving skills.

Preferred Skills

• Terraform or AWS CloudFormation.
• Jenkins, GitHub Actions, GitLab CI/CD, or similar tools.
• Prometheus, Grafana, Datadog, or equivalent observability platforms.
• Experience with AI frameworks such as LangChain, LangGraph, or LlamaIndex.
• Exposure to AIOps, AI-driven incident management, and intelligent operational automation.

Ideal Candidate

A hands-on engineer who combines strong DevOps and cloud engineering expertise with practical AI implementation experience to build scalable, secure, reliable, and intelligent engineering workflows.