A mobile development company that is specialized in developing Innovative and intuitive mobile & messaging solutions. Our vision is to be the leading messaging company in MENA. Our mission is to develop and launch high quality applications with the best UX possible in an innovative and unique way

Saudi Arabia

Riyadh

Numrah

<main>Numrah specializes in building modern applications, leveraging cutting-edge technology to enhance performance and efficiency. We're searching for a Fullstack Engineer who is experienced in JavaScript or TypeScript, and has hands-on experience building with React.js. You should be comfortable working across the stack — delivering sleek, responsive UIs on the frontend and building scalable, reliable systems on the backend.Your skillset doesn’t have to match all the technologies mentioned in the requirements, if you believe you're a strong software engineer who can learn fast and deliver, we can talk!
<h1>Requirements: </h1>
<ul><li>Have at least 2 years of non-internship experience in software development.</li><li>Have a solid grasp of Software Engineering fundamentals (OOP, OOD, Data Structures and Algorithms, and Design Patterns).</li><li>Experience with JS/TS, and GoLang.</li><li>Experience with frontend development using React.js.</li><li>Solid backend knowledge using Node.js and Express.</li><li>Familiarity with version control (Git), CI/CD, and containerization/orchestration (Docker and Kubernetes).</li><li>Solid understanding of databases (SQL and NoSQL)</li><li>Understanding of system design, API best practices, microservices architecture, reliability, scalability, and maintainability concepts.</li><li>Strong communication and collaboration skills.</li><li>You are always aiming to write maintainable and testable code.</li><li>Most importantly, you are a swiss knife, you are willing to learn whatever it is to get the job done.</li></ul>
<h1>Nice-to-Have: </h1>
<ul><li>Familiarity with gRPC, GraphQL, or other modern API patterns</li><li>Exposure to Cloud platforms like Google Cloud, AWS, or Azure (especially Cloud Functions or serverless stacks)</li><li>Experience working on ML/AI infra.</li><li>A product-focused mindset: you care about shipping and solving problems, not just clean architecture.</li></ul></main>

Full Time

Regular employment

IT & Technology

Fullstack Engineer #401

English

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Serverless architectures

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gRPC

Remote work

<main>At Numrah, we build intelligent, modern applications that combine cutting-edge engineering with practical machine learning. We're looking for a Machine Learning Engineer who is deeply grounded in ML theory and excited to design, train, fine-tune, and deploy Large Language Models (LLMs) and other ML systems in real-world production environments. You’ll work closely with backend and product individuals/teams to deliver smart, scalable features—from rapid experimentation to full-scale deployment. If you’re passionate about ML theory, hands-on with LLMs, and know how to ship high-impact AI features, this role is for you.What You’ll Do 
<ul><li>Design and implement ML solutions from ideation to production</li><li>Fine-tune and integrate LLMs</li><li>Deploy and monitor LLM-powered features at scale in real-world products</li><li>Collaborate with engineers and product teams to build intelligent, user-facing features</li><li>Write clean, scalable code and detailed technical documentation</li><li>Stay current with the latest in ML research, LLM capabilities, and MLOps best practices</li></ul>
Must-Haves 
<ol><li>Be an Arabic speaker</li><li>Have at least 1 year of non-internship experience in Machine Learning.</li><li>Strong ML and DL theory background, you don't just use things, you know how they are working under the hood.</li><li>Experience training and fine-tuning LLMs, with practical knowledge of transformer architectures</li><li>Solid production-level Python experience and strong software engineering fundamentals (OOP, OOD, DSA)</li><li>Familiarity with LLM integration frameworks like HuggingFace Transformers, OpenAI, or LangChain</li><li>Familiarity with ML data pipelines and manipulation tools (e.g., Pandas, NumPy)</li><li>Strong research, writing, and documentation skills</li><li>Collaborative mindset and ability to communicate technical ideas clearly</li></ol>
Nice-to-Haves 
<ul><li>Experience deploying LLM-based features to production</li><li>Knowledge of parameter-efficient fine-tuning (LoRA, QLoRA, PEFT)</li><li>Familiarity with RAG pipelines and vector databases (e.g., Pinecone, Weaviate)</li><li>Understanding of model serving and inference optimization (quantization, batching)</li><li>Exposure to MLOps practices (monitoring, versioning, CI/CD for ML)</li><li>Experience with RESTful APIs, Docker, and cloud platforms (GCP, AWS, or Azure)</li><li>Interest in NLP applications, smart assistants, or chatbot systems</li></ul>
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Numrah

Riyadh, Saudi Arabia

Fullstack Engineer #401

Salary expectation matched

Machine Learning Engineer

Salary expectation matched