AI Agent Architect LLM Systems

Commit Offshore is hiring an AI Agent Architect to design and build production-grade autonomous AI agents powered by Large Language Models. This role is for experienced engineers who have shipped agentic systems and can architect complex multi-step reasoning pipelines while ensuring reliability and cost efficiency at scale.

• Build and operate autonomous AI agents in production environments
• Design multi-step reasoning pipelines including planning, tool-use, and orchestration
• Implement end-to-end RAG systems and establish evaluation frameworks to measure and improve quality
• Drive LLM cost optimization at scale through model selection, routing, caching/batching strategies, and usage controls
• Identify and mitigate failure modes in AI systems including hallucinations, retrieval issues, tool errors, and cascading failures
• Design multi-agent coordination patterns such as specialized agents, handoffs, routing, and communication protocols
• Deliver these systems as cloud-native services that are scalable, observable, and resilient

• Proven experience building autonomous AI agents that run in production
• Experience designing multi-step reasoning and orchestration pipelines
• Hands-on implementation of RAG systems plus evaluation methodologies including 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 patterns
• Experience building cloud-native systems with focus on reliability, monitoring, and scalable deployment