AI DevOps Engineer

Role Summary As an AI DevOps Engineer, you'll work across two connected areas: contributing to the reliability of our AI  agent systems, and helping build and maintain the infrastructure, pipelines, and cloud operations that keep our platforms running. What You'll Do AI Agent & Reliability Work • Work on AI agent behavior: prompts, conversation flows, tool calling • Build tests that replay realistic conversations and verify outcomes • Investigate transcripts and logs to understand why interactions fail • Debug and fix issues across the Python backend and, occasionally, the dashboard Infrastructure & DevOps • Build and maintain CI/CD pipelines for deployment across services • Manage cloud infrastructure (provisioning, scaling, cost and security hygiene) • Write and maintain infrastructure as code (Terraform, CloudFormation, or similar) • Set up and improve monitoring, logging, and alerting across production systems • Containerize services and manage orchestration (Docker, and container runtime environments) • Support incident response: diagnose production issues and help drive fixes • Continuously look for ways to automate manual operational work What We're Looking For • Solid Python skills and the ability to navigate an unfamiliar codebase • Hands-on experience with CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, or similar) • Working knowledge of cloud infrastructure (AWS, GCP, or Azure) • Comfortable with containerization (Docker) and basic orchestration concepts • Comfortable working with SQL and REST APIs • Familiarity with Git and software testing • Strong debugging and problem-solving skills across both application and infrastructure layers • Curiosity and attention to detail: you verify what a system actually does rather than assuming it works as expected Nice to Have • Infrastructure as code experience (Terraform, Pulumi, CloudFormation) • Experience with LLM APIs: prompting, function/tool calling, structured outputs • Voice or