AI Agent Architect – LLM Systems

We’re hiring an AI Agent Architect to design and build production-grade autonomous AI agents powered by LLMs. This role is for someone who has already shipped agentic systems, can architect multi-step reasoning pipelines, and knows how to make RAG reliable through evaluation, while optimizing cost at scale and addressing real-world failure modes.

What you’ll be responsible for

• Building and operating autonomous AI agents in production
• Designing multi-step reasoning pipelines (planning, tool-use, orchestration)
• Implementing RAG systems end-to-end and setting up evaluation to measure and improve quality
• Driving LLM cost optimization at scale (model selection, routing, caching/batching strategies, usage controls)
• Identifying and mitigating failure modes in AI systems (hallucinations, retrieval issues, tool errors, cascading failures)
• Designing multi-agent coordination patterns (specialized agents, handoffs, routing, communication protocols)
• Delivering these systems as cloud-native services (scalable, observable, resilient)Requirements (must-have)
• Proven experience building autonomous AI agents that run in production
• Experience designing multi-step reasoning and orchestration pipelines
• Hands-on implementation of RAG + evaluation (testing, metrics, and iterative improvement)
• Experience optimizing LLM costs at scale
• Strong understanding of AI system failure modes and practical mitigation approaches
• Experience with multi-agent coordination
• Experience building cloud-native systems (reliability, monitoring, scalable deployment)