Senior MLOps Engineer (AI)

TL;DR

Senior MLOps Engineer (AI): Building and managing a secure, scalable platform for deploying AI agents with an accent on infrastructure reliability, cost optimization, and observability. Focus on implementing MCP servers, automating AWS resources with Terraform, and optimizing resource utilization for AI workloads.

Location: Dublin, Ireland

Company

hirify.global is a global provider of asset servicing and operational solutions for the world's largest public and private funds.

What you will do

• Design, deploy, and maintain AI agents on Agent Core MCP servers and MCP gateways.
• Implement observability using OpenTelemetry and integrate it with Datadog for logs and traces.
• Provision and manage cloud resources for AI workloads using Terraform (IaC).
• Develop automation scripts with AWS Boto3 SDK to validate platform components across environments.
• Perform load testing, token cost measurement, and optimize resource utilization.
• Collaborate with AI researchers and Data Science teams to integrate cutting-edge technologies into production.

Requirements

• 5+ years of experience in Platform Engineering or DevOps practices.
• Proficiency in backend and automation languages such as Python, Node.js, or Go.
• Hands-on experience with AWS services and container orchestration (Kubernetes/EKS).
• Strong understanding of API design, microservices, and cloud-native architectures.
• Deep knowledge of security practices and performance testing.
• Familiarity with Model Context Protocol (MCP) and AI agent frameworks.

Nice to have

• Experience deploying AI/ML platforms or AI agents in production.
• Exposure to high-scale distributed systems.
• AWS certifications.

Culture & Benefits

• High-visibility project with opportunities to work with leading AI experts.
• Part of one of the world's largest financial institutions.
• Culture of innovation and a "Brilliantly Different" approach to asset servicing.
• Collaborative environment within a connected global team.