DevOps Engineer

We are seeking an experienced DevOps Engineer with a strong background in deploying and managing AI applications on Azure. The ideal candidate has 2+ years of experience in deploying AI systems, understands AI Agentic architectures, and can optimize and manage LLM-based applications in production environments.

Key Responsibilities

1. Deploy, scale, and monitor AI applications on Microsoft Azure (AKS, Azure Functions, App Services, etc.). 2. Build and optimize AI Agentic systems for robust and efficient performance.

3. Implement CI/CD pipelines for seamless updates and deployments.

4. Manage containerized services using Docker/Kubernetes.

5. Monitor infrastructure cost, performance, and uptime.

6. Collaborate with AI engineers to understand application requirements and support smooth deployment. 7. Ensure compliance with data security and privacy standards.

Requirements

1. 2+ years of experience in deploying and managing AI/ML applications.

2. Proficiency in Azure cloud services and DevOps practices.

3. Familiarity with LLM-based systems, LangChain, Vector DBs, and Python.

4. Experience with containerization tools (Docker) and orchestration (Kubernetes).

5. Understanding of AI system architecture, including Agentic workflows.

6. Strong problem-solving and optimization skills.

Preferred Qualifications

1. Experience with Gemini, OpenAI, Anthropic, or Hugging Face APIs.

2. Familiarity with LangChain, LlamaIndex, or ChromaDB.

3. Prior experience in managing high-availability, secure, and cost-optimized AI deployments.