Platform Engineer, AI Infrastructure

📋 Job Overview

At Focused, we move quickly to deliver quality software that achieves client outcomes and meets their customer's needs. We strategically partner with our clients to leverage our expertise in design and software, while our clients bring their own domain expertise. We work with a variety of clients from different industries, collaborating as we get new products to market, modernizing legacy systems, or helping teams learn the skills they need to be successful.

🏢 About Focused

We're looking for a Platform Engineer to help build an enterprise AI platform for a global enterprise client. You'll work alongside a Senior Platform Engineer on the Kubernetes and cloud foundation, and you'll also get hands-on with the AI side: wiring up model access, deploying agents, and helping application teams get their LLM workloads into production. If you like infrastructure but want to build with AI too, this role is for you.

🎯 The Role

At Focused, we move quickly to deliver quality software that achieves client outcomes and meets their customer's needs. We strategically partner with our clients to leverage our expertise in design and software, while our clients bring their own domain expertise. We work with a variety of clients from different industries, collaborating as we get new products to market, modernizing legacy systems, or helping teams learn the skills they need to be successful.

✅ Key Responsibilities

• Build and operate Kubernetes clusters on Azure AKS and GCP GKE
• Write and maintain Terraform modules for cloud resources and environments
• Build CI/CD and GitOps pipelines for platform and application deployments
• Monitor, troubleshoot, and improve the reliability of AI/ML platform services
• Deploy and operate supporting services for LLM applications: model gateways, vector databases, tracing, and evaluation
• Support GPU workloads, including node pools, scheduling, and cost monitoring
• Write runbooks and automate day-two operations
• Build reference agents and LLM application templates that client teams can start from
• Help application teams integrate with the platform and debug their workloads
• Prototype with agent frameworks and LLM APIs to test what the platform needs to support

📌 Required Qualifications

• 5+ years in platform, infrastructure, DevOps, or SRE roles
• Hands-on production experience with Kubernetes
• Experience with Azure and/or GCP
• Experience with Terraform or similar IaC tools
• Experience supporting AI/ML platforms or ML workloads in production
• Proficiency in Python plus solid scripting skills

⭐ Desirable Experience

• Experience building LLM applications or agents (LangChain, LangGraph, LlamaIndex, or similar)
• Experience with Azure OpenAI or Vertex AI
• Familiarity with GPU infrastructure and model serving
• Consulting or client-facing experience

🎁 Benefits

The Denver base salary range for this role is $140,000 - $170,000.

🛂 Visa & Eligibility

Focused is unable to sponsor or take over sponsorship of the employment Visa process at this time.

This role will require being in the Denver office 3 days per week and up to 20% travel within the United States.