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Open nowPosted 536 days ago

Senior AI Engineer

BRKZ22 open roles

Where
Cairo; Islamabad; Karachi; Lahore
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Your applicationOpen nowSenior AI EngineerBRKZ · Cairo; Islamabad; Karachi; Lahore
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The clock on this job

Early applications get read.

8.1% of postings close within 7 days. Measured by our own scanner across the market.

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  2. 3.6%3 days
  3. 8.1%7 days
  4. 15.0%14 days
  5. 33.9%30 days
This job: posted 536 days ago

The posting

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.

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