Software Engineer (AI)

2 Months ago • All levels • Backend Development • Artificial Intelligence

Job Summary

Job Description

Numrah is seeking a Software Engineer (AI) proficient in Arabic to integrate Large Language Models (LLMs) into their systems. Responsibilities include collaborating with backend, product, and ML teams; writing production-level code; applying ML fundamentals to real-world scenarios; manipulating data with Pandas and NumPy; fine-tuning LLMs using tools like OpenAI, HuggingFace, or LangChain; and producing regular reports documenting work. A basic understanding of machine learning principles, software engineering fundamentals, and strong communication skills are essential.
Must have:
  • Arabic speaker
  • Python & core programming
  • Software engineering fundamentals (OOP, DSA)
  • Basic ML principles (supervised learning, model evaluation)
  • LLM integration & fine-tuning (OpenAI, HuggingFace)
  • Data manipulation (Pandas, NumPy)
  • Research & documentation skills
  • Strong communication & collaboration
Good to have:
  • Production LLM deployment
  • Cloud services (Google Cloud, AWS, Azure)
  • REST APIs & backend design
  • MLOps (model monitoring, versioning)
  • NLP, chatbots, smart assistants
  • LangChain, Vector DBs (Pinecone, Weaviate), RAG

Job Details

Numrah builds intelligent, modern applications that combine strong engineering with practical machine learning. We're looking for a Software Engineer (AI) who’s excited to work at the intersection of code and data. You’ll collaborate closely with our backend, product, and ML teams to ship smart, scalable features—including integrating Large Language Models (LLMs) into our systems.
You should be comfortable writing production-level code, have a grasp of ML fundamentals, and be curious about applying models in real-world, user-facing scenarios.


Must-Have
1- Be an Arabic speaker.
2- Solid experience with Python and core programming concepts
3- Have a grasp of Software Engineering fundamentals (OOP, Data Structures and Algorithms)
4- Basic understanding of machine learning principles (e.g., supervised learning, model evaluation, etc.)
5- Familiarity with integrating and finetuning LLMs using tools like OpenAI, HuggingFace Transformers, or LangChain
6- Comfort with data manipulation tools (Pandas, NumPy, etc.)
7- Strong research and documentation skills (you will be asked to write regular reports documenting your work).
8- Strong communication and collaboration skills—you're a team player


Nice-to-Have

  • Experience deploying LLM-powered features into production environments
  • Exposure to cloud services like Google Cloud, AWS, or Azure
  • Basic understanding of REST APIs and backend service design
  • MLOps knowledge (e.g., model monitoring, versioning, deployment)
  • Interest in NLP, chatbot systems, or building smart user-facing assistants
  • Experience with tools like LangChain, Vector DBs (e.g., Pinecone, Weaviate), or RAG pipelines

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