Platform Engineer, AI Infrastructure
Focused•Denver, CO
•$140,000 - $170,000•Hybrid
About The Position
Focused is seeking a Platform Engineer to help build an enterprise AI platform for a global enterprise client. The role works alongside a Senior Platform Engineer on Kubernetes and cloud infrastructure, while also supporting AI platform capabilities such as model access, agent deployment, and production LLM workloads. The position combines platform infrastructure, AI platform operations, and hands-on AI engineering.
Requirements
- At least 5 years of experience in platform, infrastructure, DevOps, or SRE roles.
- Hands-on production experience with Kubernetes.
- Experience with Azure and/or GCP.
- Experience with Terraform or similar infrastructure-as-code tools.
- Experience supporting AI/ML platforms or ML workloads in production.
- Proficiency in Python and solid scripting skills.
Nice To Haves
- Experience building LLM applications or agents using LangChain, LangGraph, LlamaIndex, or similar.
- Experience with Azure OpenAI or Vertex AI.
- Familiarity with GPU infrastructure and model serving.
- Consulting or client-facing experience.
- Experience shipping an LLM feature or agent to real users.
- Enjoyment of pairing and ability to learn quickly from senior engineers.
- Ability to build documentation systems that auto-update for colleagues and coding agents.
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, including 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 for client teams.
- Help application teams integrate with the platform and debug their workloads.
- Prototype with agent frameworks and LLM APIs to test platform requirements.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
