Senior AI Engineer

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 Forbes, TechCrunch & Wamda.

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.

● 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.

● Python and FastAPI. ● LLMs, prompt engineering, and agent orchestration. ● Vector databases such as Pinecone or equivalents. ● Model evaluation and quality monitoring. ● Workflow automation tools such as n8n or similar. ● API design and system integration. ● PostgreSQL and basic data modeling. ● GitHub, Docker, and Terraform. ● Basic GCP or AWS services for deployment and monitoring. ● Understanding of security, PDPL, and responsible AI handling.

It is an excellent opportunity to be part of a start-up with a lot of responsibility and independence early on and where you will impact the entire business.

Attractive compensation package

Access to tools helping with your learning and development

Product first mindset

The best idea wins; we are all ears about ways to do things better.

Exciting stock options

Check our guide on How to prepare for your interviews with BRKZ 🚚🏗️

Pls note: Certain positions eventual grading might be subject to interview performance, this allows great talent to shine regardless of years of experience and keeps a fair process based on how big of an impact you deliver in the organization.