Senior AI Engineer

Rewaa is on a mission to revolutionise retail! Our cutting-edge SaaS platform empowers retailers to move and grow faster. We provide innovative solutions for point-of-sale, inventory management, omnichannel integrations, tax and accounting, and reporting, all delivered on a single screen with our lightning-fast, robust hardware. With over 10,000+ customers and an ambitious trajectory toward global expansion, there's never been a better time to join Rewaa!

We are seeking a Senior AI Engineer to design, build, and deploy next-generation agentic AI systems and workflow automation solutions. You will work across Large Language Models (LLMs), data pipelines, and production infrastructure to build compound systems that combine reasoning, retrieval, and action. You’ll collaborate with data scientists, ML engineers, and software developers to deliver reliable, observable AI products for our B2B ecosystem.

• Design and develop agentic AI systems — build modular, tool-using LLM agents capable of orchestrating and executing multi-step workflows.
• Implement advanced prompting strategies — apply techniques like Chain-of-Thought (CoT), few-shot prompting, and in-context learning to improve agent reasoning and reliability.
• Orchestrate LLM pipelines using Lang Chain, Lang Graph, Lang Smith to create composable, traceable, and production-ready flows.
• Serve LLM using vLLM, SGLang or TensorRT
• Monitor and debug AI agents in production — implement tracing, telemetry, and feedback loops for performance and reliability observability.
• Data transformation & preprocessing — clean, normalize, and structure both structured and unstructured data at scale using modern data frameworks.
• Integrate ML models into services — develop scalable APIs (e.g., with FastAPI) and integrate them into production systems.
• Optimize and fine-tune transformer-based architectures, leveraging distributed training frameworks like Deep Speed and ChatGPT.
• Implement good software engineering practices — write clean, testable, maintainable code; use Git, CI/CD, and automated testing pipelines.
• Collaborate cross-functionally with product, data, and infrastructure teams to ensure model robustness, performance, and business alignment.

• 4–6 years of experience in machine learning, software engineering, or data systems.
• Advanced degree (MS/PhD) in Physics, Statistics, Mathematics, Engineering, or Computer Science.
• Strong understanding of transformer architectures, attention mechanisms, and LLM advancements.
• Proficiency with Lang Chain, Lan Graph, LCEL, and LLM orchestration patterns.
• Experience with observability and tracing for LLM workflows (e.g., Lang Smith).
• Proficient in Python and SQL, with familiarity in Spark, Hive, or similar big data frameworks.
• Experience with PyTorch or Tensor Flow, and understanding of distributed training optimization.
• Familiarity with sequence-to-sequence, self-supervised, and classic ML/DL techniques.
• Proven track record of deploying production-grade models via scalable APIs (FastAPI, Flask, etc.).
• Strong engineering discipline with CI/CD, version control, and testing automation.

• Competitive monthly salary.
• Stock Option Plan.
• Health insurance for the employee, their spouse, and children.
• 21 working days of annual vacation.
• Rewaa is a fast-growing company with great opportunities to develop.

Please be aware that Rewaa and its subsidiaries do not conduct interviews via email or text and will never request payment as a condition for applying for a position or receiving a job offer. To ensure your safety, apply only through Rewaa’s official channels and avoid sharing personal information (name, address, birthdate, r, etc.) with unsolicited contacts. If you encounter anything suspicious, please let us know so we can assist you.

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