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My client is one of the most recognisable tech platforms in the Middle East — operating across 70+ cities in 10 countries, serving tens of millions of customers, and now making a serious push into AI. They're looking for engineers who can turn that ambition into production-ready systems. You'll sit within the Data Science team, working on GenAI applications that directly shape the product experience at scale. This isn't research for research's sake — you'll be building and deploying real systems used by millions of users across the region.
Job Responsibility:
Building and deploying RAG systems and LLM-powered applications in production
Designing scalable GenAI pipelines using LangChain and LCEL
Running randomised controlled experiments and translating results into product decisions
Implementing observability and tracing for LLM-powered systems in production
Collaborating with product, data science, and engineering teams to ship AI-driven features
Driving exploratory analysis to identify new product levers and opportunities
Challenging existing approaches and keeping the team aligned with industry best practices
Requirements:
4–6 years in machine learning and/or software engineering
Advanced degree in a quantitative field (CS, Engineering, Mathematics, Statistics, Physics)
Strong working knowledge of transformer architectures, attention mechanisms, and LLMs
Hands-on experience with advanced prompting — CoT, few-shot, in-context learning
Proficiency in LangChain/LCEL for building complex LLM workflows