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Generative AI Engineer (Saudi-based only)

Description

We are seeking a highly skilled Generative AI Engineer to join our innovative team in Saudi Arabia. In this role, you will be pivotal in designing, building, and optimizing sophisticated applications powered by large language models and other generative AI technologies. You will leverage your deep technical expertise and creative problem-solving to develop scalable, reliable, and impactful AI-driven solutions. Your responsibilities will span the full development lifecycle, from backend infrastructure and model integration to advanced prompt engineering. Collaborating closely with product, research, and engineering teams, you will integrate cutting-edge models from providers like OpenAI and Anthropic, as well as open-source alternatives. You will also manage MLOps and AI infrastructure, ensuring our systems are robust and efficient. This is an opportunity to work at the forefront of AI, stay updated with the latest advancements, and drive real-world innovation.

Requirements

1. Minimum Bachelor's degree in Computer Science, Data Science, or a related field.

2. Demonstrable background in AI/ML with a specific focus on generative models and LLMs.

3. Strong proficiency in Python and hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, or Hugging Face.

4. Practical experience integrating LLM APIs (e.g., OpenAI, Anthropic, Cohere) or open-source models (e.g., LLaMA, Mistral).

5. Proven expertise in prompt engineering, including designing, testing, and optimizing prompts for diverse tasks.

6. Experience configuring and managing model-serving infrastructure, such as MCP servers or similar environments (e.g., vLLM, Triton).

7. Experience with data preprocessing and management for the purpose of fine-tuning or adapting AI models.

8. Must be currently based in Saudi Arabia.

Desirable

1. Master's or PhD in a relevant field.

2. Publications, research contributions, or significant involvement in open-source generative AI projects.

3. Strong problem-solving skills with the ability to translate complex business requirements into scalable AI solutions.

4. Excellent communication and collaboration skills for working across technical and non-technical teams.

5. Proactive mindset with the ability to take ownership of challenges and drive innovative solutions.

Total Applications :

1


Important information

How did you hear about us? *

Which country's passport do you hold? *

Email *(Please ensure the email matches the one mentioned in your CV or resume)

LinkedIn Profile URL *

Please provide your current and expected salary in the box below: *

Please mention your notice period *

Please answer the following 6 short questions. These help our team better understand your strengths and areas of experience.

It’s completely fine to select ‘No’ if something doesn’t apply to your background — we’re looking for a good fit, not a perfect one.

If you select ‘Yes’ for any question, you’re welcome to use it as a guide to highlight relevant experience in your CV, where applicable.

1. Are you currently based in Saudi Arabia? *

2. Do you have professional experience building and deploying applications that leverage Large Language Models (LLMs)? *

3. Does your experience include designing, testing, and optimizing prompts to improve generative AI model outputs? *

4. Have you configured or managed model-serving infrastructure like MCP servers, vLLM, or Triton Inference Server? *

5. Are you proficient in Python and at least one of the following frameworks: PyTorch, TensorFlow, or Hugging Face? *

6. Have you prepared and preprocessed datasets specifically for fine-tuning a large language model? *

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