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AI Engineer

  • On-site
    • cairo, Al Qāhirah, Egypt
  • Technology

Job description

About the role

We're seeking an exceptional AI Engineer to help lead the development of Elmenus’ AI capabilities. This is a unique opportunity to shape how artificial intelligence transforms food discovery and delivery operations. You'll be the technical cornerstone of our AI initiatives, working directly with our CPTO and CEO to architect systems that push the boundaries of what's possible with LLMs in the on-demand delivery domain.

Why this role matters

We're at a pivotal moment in food-tech, where AI can fundamentally transform how customer experiences, restaurant operations, dispatch, and support get done. As our AI Engineer, you'll be the architect of systems that make this transformation possible. Your work will define not just how our platform evolves, but how our product, operations, and engineering teams adapt to and leverage AI. This is a chance to tackle novel technical challenges while directly shaping how hundreds of thousands of Elmenus users discover, order, and enjoy their next meal.

What you'll do

  • Architect and drive our core AI/LLM infrastructure and features from conception to production

  • Own AI infrastructure, reliability, observability, and cost efficiency (latency/SLA targets, usage telemetry, token/call budgeting, model routing, caching)

  • Design and implement AI systems that handle complex operational reasoning and document/data analysis (e.g., orders, menus, support, logistics)

  • Lead the evaluation and integration of LLM capabilities and AI tools

  • Establish best practices for AI development and reliability

  • Build frameworks for rapid prototyping and validation of AI features

  • Shape our technical strategy and roadmap alongside senior leadership

  • Enablement mandate: help shift internal engineering practices to AI-assisted development (co-pilots, agentic workflows, automation across coding, testing, deployment, and documentation)

Job requirements

Required Experience

  • 5+ years of software engineering experience, with 2+ years focused on AI systems

  • Deep expertise in LLM implementation, optimization and augmentation into ML prediction models to improve outcomes

  • Strong track record of building production AI systems at scale

  • Experience with automation frameworks and tools, like n8n or opal

  • Proven ability to lead technical initiatives and mentor engineers

  • Hands-on responsibility for AI infra & cost controls (observability, rate limits/quotas, model selection/routing, caching, batch jobs, token/cost monitoring, FinOps-style guardrails)

Nice to Have

  • Experience with RAG systems and LLM evaluation

  • Familiarity with food delivery/commerce or operations data processing

  • Track record of technical publications or open-source contributions

  • Experience with multi-agent AI systems

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