About the role
About Us
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.
What You will do (Responsibilities)
- 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.
Who You are (Qualifications)
- 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.
Skills & Competencies Required
- 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.
What we offer
- 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.