Engineer

About the role

AI Infrastructure Engineer role building platform infrastructure for coding agents, review agents and internal AI assistants. Technical skills include LLM agents, RAG, evaluation, cloud, Kubernetes, IaC and distributed async systems.

Requirements

• 3+ years for mid-level or 6+ years for senior
• Build and operate LLM-powered or agent-based systems
• Cloud production systems and Kubernetes
• Queues, async workflows and reliability

What you'll do

• Build infrastructure for coding and review agents
• Develop orchestration, context/memory and evaluation systems
• Drive loosely defined work into production

Where this was posted

• LinkedIn

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