What is the salary for this Staff AI Engineer role?

Salary information is not publicly listed for this position. Apply directly to discuss compensation with Rewaatech.

Where is this Staff AI Engineer position located?

This is an on-site position at Rewaatech located in Riyadh, Middle East.

How do I apply for this Staff AI Engineer job at Rewaatech?

Click the 'Apply' button on this page to be redirected to Rewaatech's application portal. Make sure to have your resume ready and tailor your application to highlight relevant experience.

Rewaatech is actively hiring for Data roles. Visit the company page to see all open positions and learn more about working at Rewaatech.

Staff AI Engineer

Rewaatech Riyadh 1 day ago

data

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.

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

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.