Azure DevOps Engineer for LangGraph AI Apps

The work

You will support the deployment, automation, and ongoing management of AI-powered applications built with LangGraph. The work combines Azure cloud engineering, reliable software delivery, and the operation of agent workflows.

You will work with development, AI and machine learning, and platform teams while applying DevSecOps practices for security, monitoring, and compliance.

• Design, implement, and improve CI/CD pipelines in Azure DevOps.
• Deploy, configure, and maintain applications and AI workflows on Microsoft Azure.
• Build, deploy, and support LangGraph-based agentic AI applications.
• Automate infrastructure provisioning with Terraform, Bicep, or ARM templates.
• Manage Docker containers and Kubernetes workloads on Azure Kubernetes Service.
• Monitor application health, troubleshoot production issues, and optimize cloud resources.

What it pays and takes

This is a remote, part-time contract role for professionals working from India. The listing does not provide a pay rate or fixed project price.

The role is marked entry level in the listing, but it requires substantial professional experience and hands-on technical skills. English is the listed working language.

• Location: India; remote work.
• Schedule: 20 or more hours per week; part-time contract.
• Pay: Not provided in the listing; compensation is in USD.
• Experience: At least 8 years in Azure DevOps or cloud DevOps engineering.
• Required: Hands-on experience building and deploying LangGraph agent workflows.
• Required: Strong knowledge of Azure App Service, Azure Functions, AKS, Azure Container Registry, Azure Storage, and Azure Key Vault.
• Required: Azure DevOps YAML pipelines, Terraform, Bicep or ARM templates, Docker, Kubernetes, Git, branching, release management, and automation with Python or PowerShell.
• Required: Familiarity with Azure Monitor, Application Insights, and Log Analytics.
• Helpful: LangChain, Azure OpenAI Service, vector databases, retrieval-augmented generation, other LLM frameworks, cloud security, or DevSecOps.
• Helpful: AZ-104, AZ-400, or AZ-305 certification; a bachelor's degree in computer science, information technology, or a related field; and Agile or Scrum experience.

How it works

Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI training work

AI training work is the human work behind systems that can understand language, write code, and complete tasks. It includes preparing examples, reviewing model behavior, and helping improve the applications and workflows that use AI, with experienced technical contributors needed for specialized work.