Generative AI Operations Engineer (GenAI Ops)

About the role

We are looking for a motivated Generative AI Operations Engineer to design, deploy, and maintain the infrastructure that powers our cutting‑edge generative AI models and multi‑agent systems. The role is fully remote within Armenia, allowing you to work from anywhere while collaborating with data scientists, ML engineers, and developers.

Key responsibilities

• Design, implement, and maintain automated CI/CD pipelines for training, evaluating, and deploying large language models and AI agents.
• Orchestrate sophisticated multi‑agent workflows, ensuring reliable agent‑to‑agent communication.
• Integrate AI agents with external tools and APIs using open standards such as the Model Context Protocol (MCP).
• Leverage AI‑powered development tools to accelerate infrastructure code creation, testing, and troubleshooting.
• Define and manage cloud infrastructure as code using Terraform or cloud‑native IaC services.
• Implement monitoring, logging, and tracing solutions to observe model performance, resource usage, and agent actions.
• Design scalable architectures for model serving and inference, optimizing cost and performance.
• Enforce security best practices and ensure compliance with relevant standards.

Required profile

• Minimum 3 years of experience in DevOps, SRE, or MLOps with a focus on cloud infrastructure.
• Hands‑on experience with major cloud providers (AWS, GCP, Azure).
• Proficiency in at least one scripting language such as Python or Bash.
• Experience building CI/CD pipelines using tools like Jenkins, GitLab CI, or cloud‑native services.

Required skills

• CI/CD pipelines (Jenkins, GitLab CI)
• Cloud platforms (AWS, GCP, Azure)
• Scripting languages (Python, Bash)
• Infrastructure as Code (Terraform, AWS CDK, CloudFormation)
• Containerization and orchestration (Docker, Kubernetes)
• Model monitoring and observability tools
• Security and compliance practices

What we offer

• Fully remote work within Armenia
• Opportunity to shape the operational backbone of next‑generation AI products
• Collaborative environment with cross‑functional AI experts