- Location
- Cairo; Islamabad; Karachi; Lahore · Cairo, Cairo, Egypt · Islamabad, Islamabad Capital Territory, Pakistan · Karachi, Sindh, Pakistan · Lahore, Punjab, Pakistan
- Type
- Full-time
- Department
- Engineering
- Seniority
- Senior
- Source
- Greenhouse
Description
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.
