AI Engineer

Architect & Ship AI-Native Systems 

• Lead the architecture and delivery of end-to-end AI-powered systems, including agents, RAG pipelines, orchestration layers, and reasoning workflows. 

• Translate product vision into scalable technical systems. 

• Define contracts, state management strategies, and guardrails for AI-driven workflows. 

• Own and evolve API contracts that AI systems interact with, ensuring reliability, idempotency, authentication safety, and rate limiting. 

Engineer Reliability at Scale 

• Design schema enforcement and validation layers for AI-generated outputs. 

• Implement retries, fallback strategies, and failure-mode containment. 

• Establish evaluation frameworks for benchmarking, regression testing, and drift detection. 

• Create observability standards for AI systems, including structured logging, telemetry, tracing, and performance monitoring. 

• Productionize experimental AI capabilities into scalable, secure services. 

Set Direction & Elevate the Organization 

• Establish architectural patterns and standards adopted across teams. 

• Mentor engineers in AI-native and spec-driven development practices. 

• Influence engineering culture through clarity, urgency, and execution. 

• Decompose high-level business outcomes into executable technical systems.