AI Engineer [KSA Only]

Rewaa; Riyadh; On-site; SAR 200,000 - 300,000; Full time

Job summary

A reputed tech company in Riyadh is seeking an AI Engineer to architect and deploy production-grade AI systems that revolutionize retail. The ideal candidate will have hands-on experience with modern frameworks, real-world AI system deployments, and a strong emphasis on software engineering principles. Join a rapidly growing team dedicated to innovative solutions in retail.

Qualifications

• Proficiency with LLM orchestration frameworks is essential.
• Experience with prompt engineering as part of software development.
• Hands-on experience deploying AI systems in real-world applications.

Responsibilities

• Architect and deploy AI systems that solve business problems.
• Develop robust AI systems with a focus on engineering.
• Monitor and optimize AI systems for performance and cost.

Skills

AI Systems Engineering

Hands-on experience deploying AI systems to production

Proficiency with LLM orchestration frameworks

Deep understanding of RAG architectures

Experience with prompt engineering

Production-quality Python skills

Expertise in resilient systems

Testing strategies for non-deterministic systems

Async processing and distributed systems patterns

Monitoring and observability for AI systems

Cost optimization for LLM applications

Deployment pipelines and feature flagging

Security practices for prompt injection and PII

2-4 years of experience as an AI Engineer

Job description

Rewaa Overview

Rewaa is on a mission to revolutionise retail! Our cutting-edge SaaS platform empowers retailers to move and grow faster. We provide innovative solutions for point-of-sale, inventory management, omnichannel integrations, tax and accounting, and reporting, all delivered on a single screen with our lightning-fast, robust hardware. With over 10,000+ customers and an ambitious trajectory toward global expansion, there's never been a better time to join Rewaa!

What You’ll Do

You’ll architect and deploy production-grade AI systems that solve real business problems. Think customer intelligence agents, automated sales workflows, and RAG systems that actually retrieve the right context. You’ll work with modern frameworks like LangGraph, LlamaIndex, or Vertex AI Agent Builder to build systems that scale from hundreds to thousands of daily users. This isn’t research—it's engineering. You’ll own the full lifecycle: designing architectures, writing production code, implementing robust error handling, shipping to users, and monitoring what matters.

Required Technical Skills

• AI Systems Engineering
• Hands‑on experience deploying at least one AI system to production (not just notebooks)
• Proficiency with LLM orchestration frameworks (LangGraph, LlamaIndex, AWS Agent Core, or similar)
• Deep understanding of RAG architectures: embeddings, vector databases, retrieval strategies
• Experience with prompt engineering as an engineering discipline—versioned, tested, and iterated
• Software Engineering Excellence: production‑quality Python with clean API design and proper error handling
• Expertise in resilient systems: retry logic, exponential backoff, circuit breakers
• Testing strategies for non‑deterministic systems (yes, we test our prompts)
• Async processing, queue management, and distributed systems patterns
• Production Operations: monitoring and observability for AI systems (beyond just “it works”)
• Cost optimization for LLM‑powered applications at scale
• Deployment pipelines and feature flagging for gradual rollouts
• Security practices including prompt injection prevention and PII handling
• 2‑4 years of experience working as an AI Engineer

What Great Looks Like

• You’ve debugged why your RAG system retrieved irrelevant context and fixed the chunking strategy
• You can explain the trade‑offs between different vector databases for your use case
• You’ve written tests that catch prompt regressions before they hit production
• You think about AI systems in terms of latency, cost per query, and accuracy metrics
• You’ve had production incidents and learned from them

What Makes You Stand Out

• Built multi‑agent systems with human‑in‑the‑loop workflows
• Integrated AI systems with CRM platforms (Salesforce, HubSpot) or business tools
• Experience with evaluation frameworks for measuring LLM output quality
• Open source contributions to AI tooling or framework projects
• War stories about scaling AI systems from 100 to 10,000+ queries/day

Disclaimer and Safety

We are NOT looking for pure ML researchers, data scientists, or prompt engineers without software engineering depth. We ARE looking for software engineers who love building AI systems, ship and iterate based on real user feedback, and treat prompts like code and systems like products.

Please be aware that Rewaa and its subsidiaries do not conduct interviews via email or text and will never request payment as a condition for applying for a position or receiving a job offer. To ensure your safety, apply only through Rewaa’s official channels and avoid sharing personal information (name, address, birthdate, ID number, etc.) with unsolicited contacts. If you encounter anything suspicious, please let us know so we can assist you.

External Recruiter Notice

Rewaa does not accept unsolicited resumes from external recruiters or staffing agencies. Any submission of an unsolicited resume to our resume database, directly to Rewaa hiring managers, or by other means will be considered gratis, and no recruiting fee will be paid if an unsolicited candidate from a third‑party recruiter is subsequently hired. Fees will be paid ONLY where an external recruiter has an executed service contract in place with Rewaa and resumes have been solicited by our Talent Acquisition team in connection with a specific job opening.