AI Automation Engineer

Role overview Design and deliver production automations that reduce repetitive work for client teams. Projects may include AI assistants, document processing, lead qualification, support triage, and internal copilots. The emphasis is on dependable systems with clear safeguards, measurable quality, controlled costs, and a route to human support when needed.

Responsibilities - Build LLM workflows using tool calling, retrieval, and policy checks. - Connect automations to CRMs, email, messaging channels, databases, and internal tools. - Track response quality, latency, and cost, then improve workflows through structured evaluation. - Package solutions so client teams can monitor them and request changes safely. - Document prompts, tools, and operational runbooks for delivery and support teams.

Requirements - Hands-on experience with major LLM APIs, such as OpenAI, Anthropic, or similar services. - Experience shipping production automations rather than prototypes alone. - Working ability in Python and/or Node.js. - Familiarity with workflow platforms such as n8n, Make, or Zapier, or with custom orchestration. - Strong debugging habits and clear written communication.

Benefits and work setup - Remote full-time role, with some schedule overlap for work across the UAE, US, and UK. - Client work spanning software, AI, and growth marketing. - Clear ownership, asynchronous written collaboration, and senior mentorship; lead-track opportunities may develop with delivery experience. - Compensation and benefits are discussed during the interview process.