AI Infrastructure Engineer

📋 Description

• Deploy and optimize the AgentCore Runtime on Amazon EKS for long-running tasks.
• Build the AgentCore Gateway in Go to mediate between autonomous agents and internal microservices, enforcing zero-trust security.
• Architect persistent state and memory stores to maintain context across sessions or vector stores.
• Engineer the integration between AgentCore and the Horizon Kubernetes platform to provide native access to cluster resources and internal services.
• Lead IaC for the full AgentCore stack using Terraform or AWS CDK; enable support for Retrieval-Augmented Generation (RAG) and Knowledge Graph integration.
• Design automated evaluation, observability, and governance frameworks to ensure Horizon agents operate safely and reliably.

🎯 Requirements

• Bachelor’s degree in computer science, engineering, or related field; Master’s degree preferred.
• 10+ years of software engineering experience with ~5+ years in cloud distributed systems; proficient in Golang and async Python.
• Hands-on experience with AWS AgentCore (or similar Agentic AI platforms), Agent SDKs (Strand, OpenAI, LangChain); MCP/A2A protocols.
• Agentic expertise to move agents from chat to autonomous action loops (MCP, A2A, RAG, KnowledgeBase).
• 2+ years of Kubernetes experience, including Kubernetes operators and containers; experience with Helm charts and API gateways.
• Experience with CI/CD tooling (GitLab) and infrastructure as code (Terraform); knowledge of Terraform and AWS CDK.

🎁 Benefits

• A Professional Development Budget
• Dedicated Wellness Days and Wellness Week
• A Lifestyle Spending Account
• An Employee Recognition Program