Staff AI Engineer at Rewaa

Riyadh, Riyadh Region, Saudi Arabia -

Full Time

Start Date

Immediate

Expiry Date

11 Apr, 26

Salary

0.0

Posted On

11 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Systems Engineering, LLM Orchestration, RAG Systems, Python Engineering, Distributed Systems, Event-Driven Systems, Monitoring, Observability, Cost Modeling, CI/CD Pipelines, Security Best Practices, System Design, Debugging, Mentoring, Architectural Decisions, Production Engineering

Industry

Software Development

Description

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 As a Staff AI Engineer, you’ll define and lead the technical direction for production-grade AI systems across the company. You won’t just build agents—you’ll design the platforms, patterns, and guardrails that other engineers rely on to ship AI safely and at scale. You’ll architect end-to-end AI systems such as customer intelligence agents, internal copilots, automated workflows, and retrieval-augmented generation (RAG) platforms used by multiple teams. You’ll work with modern frameworks like LangGraph, LlamaIndex, AWS Agent Core, or Vertex AI Agent Builder, and make principled decisions about when to use them—and when not to. This is not a research role. It’s senior-level engineering leadership with deep hands-on ownership. You’ll set standards, review designs, mentor engineers, and still write production code when it matters most. You’ll be accountable for reliability, cost, and long-term maintainability of AI systems running in production. \n Core Responsibilities Technical Leadership: Define reference architectures and best practices for AI systems across teams Lead design reviews for complex AI and agentic systems Make high-impact architectural decisions balancing speed, cost, accuracy, and reliability Identify when to build vs buy vs integrate third-party AI tooling AI Systems Architecture: Design scalable RAG and agent-based systems (single-agent and multi-agent) Own system-level concerns: orchestration, memory, retrieval, evaluation, and fallback strategies Establish prompt versioning, evaluation, and deployment standards across the org Drive consistency in embeddings, vector databases, and retrieval strategies Production Engineering: Design resilient systems: retries, timeouts, circuit breakers, graceful degradation Build async pipelines, background workers, and event-driven workflows Own production incidents and lead post-mortems with clear corrective actions Operational Excellence: Define and monitor AI-specific SLIs/SLOs (latency, accuracy, cost per request, hallucination rate) Drive LLM cost optimization strategies at scale Implement rollout strategies using feature flags, canaries, and staged deployments Ensure security, compliance, and PII protection in AI systems Team & Org Impact: Mentor senior and mid-level engineers in AI systems engineering Raise the engineering bar through code reviews, design guidance, and shared tooling Partner with product, data, and leadership to shape the AI roadmap Turn ambiguous business problems into clear technical plans Required Technical Skills AI Systems Engineering: Proven experience designing and operating multiple AI systems in production Deep expertise in LLM orchestration frameworks (LangGraph, LlamaIndex, AWS Agent Core, or similar) Strong understanding of RAG systems: embeddings, chunking strategies, hybrid retrieval, reranking Experience treating prompts as production artifacts: versioning, testing, evaluation, rollback Software Engineering Excellence: Advanced Python engineering with strong system design fundamentals Experience building distributed, async, and event-driven systems Testing strategies for non-deterministic systems (prompt tests, golden datasets, eval pipelines) Ability to debug complex failures across multiple services and AI components Production & Platform Thinking: Monitoring and observability for AI systems (not just infrastructure) Cost modeling and optimization for LLM-powered workloads CI/CD pipelines and safe deployment strategies for AI features Security best practices including prompt injection mitigation and data isolation 6–10+ years of professional software engineering experience 3+ years building and operating AI-powered systems in production environments What Great Looks Like You’ve designed a shared RAG or agent platform used by multiple teams You’ve identified why a system’s retrieval quality degraded and fixed it at the architecture level You can clearly articulate trade-offs between vector databases, embedding models, and retrieval strategies You’ve introduced evaluation frameworks that prevented regressions before production You think in terms of org-level impact, not just feature delivery You’ve led production incidents and improved systems as a result What Makes You Stand Out Designed multi-agent systems with human-in-the-loop workflows Built internal AI platforms or developer tooling for other engineers Integrated AI systems deeply with business platforms (CRM, ERP, analytics tools) Experience defining AI governance, guardrails, or internal standards Strong opinions—loosely held—about how AI systems should be built \n Alert for Candidates 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. تنبية للمتقدمين تؤكد شركة رِواء وشركاتها التابعة على أنها لا تجري أي مقابلات عمل عبر البريد الإلكتروني أو الرسائل النصية، ولن تطلب أي مبالغ مادية كشرط للتقديم أو لتلقي عرض عمل على أي وظيفة. التقديم على وظائف شركة رواء يتم فقط عبر القنوات الرسمية للشركة، ونحذر من مشاركة معلوماتك الشخصية (مثل الاسم، العنوان، تاريخ الميلاد، والهوية الوطنية، وغيرها) مع أي طرف خارجي. Notice to External Recruiters and Staffing Agencies 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. إشعار للمستقطبين الخارجيين ووكالات التوظيف تؤكد شركة رِواء أنها لا تقبل أي سيرة ذاتية من المستقطبين الخارجيين أو وكالات التوظيف إلا إذا كانت بموجب عقد مبرم وموقع بين الطرفين. أي سيرة ذاتية تُقدم إلى قاعدة بياناتنا، أو تُرسل مباشرةً إلى مسؤولي التوظيف في شركة رِواء، أو تُرسل عبر أي وسيلة أخرى دون عقد مسبق، ستُعتبر خدمة مجانية، ولن يتم دفع أي رسوم توظيف في حال تعيين المرشح. تُدفع الرسوم فقط إذا تم طلب السيرة الذاتية من قِبَل مسؤولي التوظيف لدى شركة رِواء بموجب العقد.

Responsibilities

As a Staff AI Engineer, you will define and lead the technical direction for production-grade AI systems across the company. You will architect end-to-end AI systems and ensure their reliability, cost, and long-term maintainability.