AI Systems & Automation Engineer

Ethos Interactive · Aley, Jabal Lubnan, Lebanon

Company

Ethos Interactive

Work style

Remote

Employment

Full Time

Location

Aley, Jabal Lubnan, Lebanon

Published

2026-10-01

Source checked

2026-10-28

Listing source

SmartRecruiters Posting API

About this role

Company Description We are Ethos, the fastest growing digital communication group in MENA. We think big and we make big ideas come to life. We are crazy about the digital world and we aim high. We are looking for talented and valued people with interesting and provocative ideas, along with bold and diverse perspectives. Our culture is all about the thriving young team of us in 4 offices around MENA, while we boldly help impact the success of leading brands like McDonald's, General Motors, and American Express. Job Description We are looking for an experienced AI Systems & Automation Engineer to design and build the systems that move work across the organization. This is a project-based engagement focused on building new workflows and strengthening how our teams operate. You will work across teams to turn complex processes into reliable, scalable workflows, connecting models, data, platforms, and internal tools with a strong focus on performance, usability, and long term maintainability. Responsibilities Design and build intelligent systems and automation workflows across business functions. Develop agentic and multi agent architectures for orchestration, retrieval, validation, and execution. Integrate platforms and services through APIs, MCP, webhooks, databases, and internal systems. Build knowledge, retrieval, and memory layers across structured and unstructured data, and develop the backend services and data pipelines beneath them. Create human in the loop workflows, approval logic, and quality control mechanisms, and identify which processes should stay manual. Own reliability, scalability, observability, and maintainability across deployed systems. Establish clear technical standards, documentation, and implementation practices the team can maintain. Qualifications Proven professional experience in AI engineering, software engineering, systems architecture, automation, or applied machine learning. A track record of taking systems from architecture and prototype through to stable production deployment. Deep working knowledge of LLMs in production: agentic systems, tool use, orchestration, retrieval, embeddings, vector search, contextual memory, and structured outputs. Strong experience with APIs, MCP, service integrations, databases, webhooks, and data pipelines. Advanced programming skills in Python, JavaScript/TypeScript, or comparable languages. Experience with cloud infrastructure, containerization, deployment, version control, monitoring, and observability. Strong understanding of authentication, permissions, data security, and system reliability. Strong systems thinking and the ability to simplify complex workflows without compromising technical rigor. Ability to work effectively with both technical and non technical teams. Experience working within creative, marketing, media, content, strategy, or operational environments. Experience with internal platforms, knowledge systems, generative pipelines, workflow engines, or enterprise automation. Arabic and English working proficiency, or experience building bilingual content systems.

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