<div class="content-intro"><h2>About Us</h2> Backed by top regional and global VCs, BRKZ is Saudi Arabia’s fastest-growing construction-tech startup. Our web platform, mobile apps and WhatsApp channels give contractors instant access to 7,000+ building-material SKUs from 1,100+ vetted suppliers, with quotes in minutes and buy-now-pay-later financing built in. In just two years we have on-boarded 850+ contracting companies, supported giga-projects such as NEOM and King Salman Park, and scaled RFQs to $350 million while keeping positive unit economics. You can read more about BRKZ's latest news on <a href="https://www.forbes.com/sites/davidprosser/2025/02/09/brkz-raises-8-million-to-build-on-saudi-construction-boom/" target="_blank">Forbes</a>, <a href="https://techcrunch.com/2025/02/09/saudis-brkz-closes-17m-series-a-for-its-construction-tech-platform/" target="_blank">TechCrunch</a> & <a href="https://www.wamda.com/en/2025/02/brkz-closes-17-million-series-a-bolster-presence-saudi-arabia" target="_blank">Wamda</a>.</div><h2 style="text-align: left;">What You will do (Responsibilities) :</h2> <ul> <li>Design, build, and deploy AI agents and AI-enabled services. ● Translate business workflows into automated and AI-assisted systems. ● Integrate LLMs with internal platforms, APIs, and data sources. ● Start with rules and automation. Add AI only where it adds clear value. ● Develop AI services using Python and modern backend frameworks. ● Own model quality, evaluation, versioning, and observability. ● Design feedback loops to continuously improve AI output quality. ● Define accuracy targets, confidence thresholds, and human review paths. ● Monitor production systems for failures, drift, and edge cases. ● Optimize inference cost, latency, and reliability. ● Instrument systems to measure usage, accuracy, and operational impact. ● Collaborate with ML Engineers and Data teams where model training or data pipelines are required. ● Ensure AI systems comply with PDPL, security, and responsible AI practices. ● Design explainable AI behaviors and human-in-the-loop workflows to build trust. ● Work closely with Finance, Operations, Sales, and other teams. ● Document system behavior, trade-offs, and limitations clearly. ● Apply AI tools to improve software delivery efficiency, quality, and reliability where there is clear impact. ● Partner with Engineering to evaluate and apply targeted AI-assisted tooling across the SDLC.</li> </ul> <h2>Who You are (Qualifications) : </h2> ● 5+ years in applied AI or AI engineering roles. ● Bachelor’s degree in Computer Science or a related field. ● Strong Python skills with production backend experience. ● Hands-on experience with LLMs, prompt design, and agent frameworks. ● Experience with vector databases and retrieval systems. ● Experience evaluating AI outputs and improving accuracy over time. ● Experience deploying AI services on cloud platforms. ● Strong data handling and debugging skills. ● Experience integrating APIs and internal systems. <h2>Skills & Competencies Required: </h2> ● Python and FastAPI. ● LLMs, prompt engineer

Senior AI Engineer

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