AI Systems Engineer – Automation

Job not on LinkedIn

🔥 2 hours ago

🇱🇧 Lebanon – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 QA Automation Engineer

👻 Ghost score 15%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Ethos Interactive

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🤝 B2B

📣 Marketing

Consulting • B2B • Marketing

Ethos Interactive is a creative marketing consultancy agency that specializes in elevating the art and science of marketing. They are human-centered, data-driven and growth-led, focusing on digital communication, customer experience design, marketing automation, and various online marketing strategies including search engine and social media marketing. With a youthful team across four offices in the MENA region, Ethos Interactive aims to make a significant impact on leading global brands such as McDonald's, General Motors, Aramco, and American Express.

📋 Description

• 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 • Develop backend services and data pipelines • Create human-in-the-loop workflows, approval logic, and quality-control mechanisms • Identify which processes should remain manual • Own reliability, scalability, observability, and maintainability across deployed systems • Establish technical standards, documentation, and implementation practices the team can maintain • Work across teams to turn complex processes into reliable, scalable workflows

🎯 Requirements

• Proven professional experience in AI engineering, software engineering, systems architecture, automation, or applied machine learning • Track record of taking systems from architecture and prototype through to stable production deployment • Deep working knowledge of LLMs in production, including 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 ability to simplify complex workflows without compromising technical rigor • Ability to work effectively with technical and non-technical teams • Experience in 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

🏖️ Benefits

• Employees can work remotely

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