Description
The role builds and operates an internal AI platform, driving data hygiene, observability, and business adoption across AI systems. It involves prototyping and deploying LLM agents, semantic applications, deterministic automations, reusable SDKs, APIs, and playbooks; mapping operational workflows; implementing evaluation, token-cost, latency, and guardrail systems; and leading technical enablement. The position requires strong backend coding, REST APIs, microservices, databases, cloud infrastructure, and familiarity with AI models and agentic frameworks, while ensuring compliance with security, data privacy, and corporate standards.
