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AI Engineer - Generative AI​/LLM

Job in Doha, Baladīyat ad Dawḩah, Qatar
Listing for: STATERA
Full Time position
Listed on 2026-09-22
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, AI QA / Validation Engineer, AI Reliability/ Performance Engineer
Salary/Wage Range or Industry Benchmark: 218000 - 328000 QAR Yearly QAR 218000.00 328000.00 YEAR
Job Description & How to Apply Below
Position: AI Engineer - Generative AI / LLM

STATERA Middle East is looking for an experienced AI Engineer to join a strategic 1-year project in Qatar.

Key Responsibilities
  • Design, build, test, and deploy AI solutions in real-world environments
  • Develop Generative AI and LLM-based applications
  • Translate business requirements into practical and scalable AI solutions
  • Design and optimize prompts and AI workflows
  • Evaluate LLM and AI model performance, quality, accuracy, and reliability
  • Define and execute AI model evaluation and validation approaches
  • Support the integration and deployment of AI solutions into production environments
  • Collaborate with business and technical stakeholders throughout the AI solution lifecycle
Required Experience & Skills
  • 3–5 years of hands-on experience in AI Engineering / Machine Learning
  • Strong practical experience with Generative AI and Large Language Models (LLMs)
  • Strong knowledge of AI/LLM evaluation and testing methodologies
  • Experience building and deploying end-to-end AI solutions
  • Ability to translate business use cases into working AI applications
  • Strong understanding of model performance, validation, and real-world AI use cases
  • Proficiency in Python
  • Experience with modern AI/LLM frameworks and APIs
  • Good communication skills in English
Nice to Have
  • Experience with RAG architectures, embeddings, and vector databases
  • Experience with Lang Chain, Llama Index or similar frameworks
  • Knowledge of MLOps / LLMOps and cloud environments

Project duration: 1 year

We are looking for candidates who can move quickly through the recruitment process.

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