DevOps Engineer (Agentic AI)

DevOps Engineer (Agentic AI)We are seeking a skilled DevOps Engineer with a strong interest in Agentic AI and Generative AI systems. In this role, you will design, automate, and manage cloud-native infrastructure that powers AI applications, intelligent agents, and large-scale data processing workloads. You will play a key role in building reliable, scalable, and secure platforms for deploying AI-powered products in production environments.Key ResponsibilitiesDesign, implement, and maintain cloud infrastructure across AWS, Azure, or GCP environments.Build and manage CI/CD pipelines for rapid and reliable software delivery.Automate infrastructure provisioning and configuration using Infrastructure as Code (IaC) tools.Deploy, monitor, and optimize AI/ML and Agentic AI workloads in production environments.Manage containerized applications using Docker and Kubernetes.Implement observability solutions including logging, monitoring, alerting, and performance tracking.Ensure platform reliability, security, scalability, and cost optimization.Collaborate closely with software engineers, AI engineers, and product teams to streamline deployment workflows.Support MLOps and LLMOps practices for model deployment, evaluation, and lifecycle management.Troubleshoot infrastructure, networking, and deployment issues across distributed systems.Required QualificationsStrong experience in DevOps, Platform Engineering, or Site Reliability Engineering.Hands-on experience with cloud platforms such as AWS, Azure, or GCP.Proficiency with Infrastructure as Code tools such as Terraform or CloudFormation.Experience building and managing CI/CD pipelines.Strong knowledge of Docker, Kubernetes, and container orchestration.Proficiency in Python, Shell scripting, or similar automation languages.Understanding of networking, cloud security, load balancing, DNS, VPNs, and firewalls.Experience with monitoring and observability tools.Strong troubleshooting and problem-solving skills.Ability to thrive in a fast-paced startup environment.Preferred QualificationsExperience with MLOps and AI infrastructure.Familiarity with Vertex AI, SageMaker, or similar AI/ML deployment platforms.Knowledge of Large Language Models (LLMs), Agentic AI systems, and AI orchestration frameworks.Experience deploying Retrieval-Augmented Generation (RAG) pipelines and AI-powered services.Familiarity with vector databases, distributed systems, and scalable data platforms.Exposure to security automation, compliance, and cloud governance practices.Desired TraitsPassion for emerging AI technologies and intelligent automation.Strong ownership mindset and ability to work independently.Excellent communication and collaboration skills.Continuous learner with a focus on automation, efficiency, and operational excellence.Comfortable working in highly dynamic and rapidly evolving environments.What You'll GainOpportunity to build and operate infrastructure for cutting-edge Agentic AI applications.Exposure to modern cloud-native technologies, AI platforms, and automation frameworks.Remote-first work environment with flexibility and autonomy.Collaborative culture focused on innovation, ownership, and continuous learning.Significant opportunities for technical growth and leadership as AI adoption scales.