AI Automation Engineer

Role overview Design and deliver secure AI automations that help client teams handle operational work more efficiently. You’ll build LLM-based workflows and integrations, then address reliability, security and handover so client teams can maintain the resulting tools.

Responsibilities - Develop LLM-powered workflows, assistants and integrations for client operations. - Create evaluations, safeguards and monitoring to support reliable behavior. - Connect automations to client systems using APIs, queues and databases. - Assess AI features for risks such as prompt injection, data exposure and misuse. - Document solutions and hand them over so client teams can operate them.

Requirements - At least three years of professional software engineering experience with TypeScript or Python. - Practical experience building with LLM APIs, including tool use, retrieval and structured outputs. - Strong understanding of API design, authentication and secure data handling. - Ability to scope work directly with non-technical stakeholders. - Based in Egypt or the Middle East, with authorization to work there.

Nice to have - Familiarity with workflow tools such as n8n, Temporal or similar platforms. - Knowledge of the OWASP Top 10 for LLM Applications. - Experience in security, data engineering or MLOps.