Role Overview This is the pod’s most critical hire. You set the technical direction for every piece of AI work at Kissht - architecture, integration patterns, evaluation infrastructure, and the call between vendor APIs and self-hosted models. When someone asks “how do we do AI engineering here?”, the answer is yours to give. Responsibilities - building and delivery AI platform architecture: LLM integrations, RAG pipelines, agent frameworks, context engineering, evaluation harnesses, observability. Build-vs-buy technical calls, in partnership with other stakeholders. Engineering standards for AI work across Kissht: how we prompt, evaluate, monitor, and iterate. Technical vendor evaluations: API testing, latency and accuracy benchmarks, integration complexity, red-flag surfacing. Mentoring the two SDE-2 Builders and the Data Engineer. You set the quality bar. What success looks like - first 90 days The pod’s AI architecture is documented, reviewed, and being followed in active builds. Th...