AI Automation Engineer
Summary
Designs and implements AI-powered automation for software engineering workflows, including agentic systems, code review, and CI/CD pipelines, using LLMs, C#/.NET, Azure, and Kubernetes.
About our Customer
it's a Denmark-based technology company working exclusively with international clients. Since 2019, we've partnered with established organizations to build high-quality digital products and scalable technology solutions. Our team values ownership, innovation, and continuous learning while maintaining a collaborative and low-management culture where everyone can make a real impact. About the Role We're looking for an AI Automation Engineer to help transform how we build, review, deploy, and operate software using AI. You'll design agentic workflows, AI-powered automation, and internal developer tools while contributing to backend development and platform engineering
Responsibilities
Design and implement AI-powered automation using LLMs and agentic workflows
Integrate AI into engineering processes, including code review, security scanning, testing, documentation, release notes, and developer copilots
Build agentic workflows using APIs, tool/function calling, and MCP servers
Implement guardrails, evaluations, and monitoring to ensure safe and reliable AI automation
Develop backend features using C#/.NET when required.
Design and maintain CI/CD pipelines using Azure DevOps YAML and GitHub Actions
Support cloud infrastructure, Kubernetes, secrets management, scaling, and Infrastructure as Code
Promote DevSecOps practices by integrating security into the development lifecycle
Communicate technical risks, dependencies, and recommendations with stakeholders
Stay up to date with the latest AI technologies and continuously improve engineering practices
✅Requirements
Hands-on experience building AI automation with LLMs, prompt engineering, agent design, tool/function calling, and AI integrations
Practical experience evaluating, monitoring, and optimizing AI-powered solutions
Strong experience with Azure DevOps (YAML) and/or GitHub Actions
Solid Azure and Kubernetes (AKS) experience
Experience with Infrastructure as Code (Terraform, Bicep, or ARM)
Backend development experience with C#/.NET, ASP.NET Core, Entity Framework Core, and REST APIs
Scripting experience with Python, PowerShell, or Bash
Familiarity with DevSecOps, vulnerability scanning, and secrets management
Experience working in Agile environments (Scrum/Kanban)
2+ years of software engineering experience with hands-on AI/automation projects
Written and spoken Englis