Senior Generative AI Engineer

proven; Riyadh; On-site; SAR 200,000 - 300,000; Full time

Job summary

An innovative firm is seeking a talented AI Engineer specializing in Generative AI. In this exciting role, you will lead projects from concept to production, designing and optimizing cutting-edge AI solutions. Your expertise in prompt engineering and fine-tuning large language models will be crucial as you collaborate with teams and mentor junior engineers. If you're passionate about AI and eager to stay at the forefront of research and technology, this opportunity offers a dynamic environment where your contributions will make a significant impact.

Qualifications

• 4+ years of AI/ML experience with 2+ years in Generative AI or LLM applications.
• Expert-level skills in prompt engineering and hands-on experience fine-tuning LLMs.

Responsibilities

• Lead and manage generative AI projects from concept to production.
• Design, prototype, and optimize generative AI solutions including text generation.

Skills

Fluency in Arabic

Fluency in English

AI/ML experience

Generative AI experience

Prompt engineering

Fine-tuning LLMs

Python programming

AI frameworks (PyTorch, Hugging Face Transformers, LangChain)

Understanding of transformer architectures

Leadership abilities

Tools

PyTorch

Hugging Face Transformers

LangChain

Azure

AWS

GCP

Job description

Responsibilities

1. Lead and manage generative AI projects from concept to production.
2. Design, prototype, and optimize generative AI solutions including text generation, summarization, classification, and synthetic data generation.
3. Design, test, and optimize zero-shot, few-shot, and chain-of-thought prompts for large language models (LLMs).
4. Fine-tune and adapt LLMs using techniques like LoRA, QLoRA, and PEFT for domain-specific applications.
5. Integrate generative models into APIs, cloud services, and production systems.
6. Optimize inference performance for cost, speed, and scalability.
7. Define and track key evaluation metrics (BLEU, ROUGE, perplexity, factuality).
8. Stay current with the latest GenAI research and trends (LLMs, diffusion models, RAG, multimodal AI).
9. Collaborate with internal teams, external vendors, and research communities.
10. Mentor and guide junior AI engineers and data scientists.

Requirements

1. Fluency in Arabic and English (spoken and written).
2. 4+ years of AI/ML experience with 2+ years in Generative AI or LLM applications.
3. Expert-level skills in prompt engineering.
4. Hands-on experience fine-tuning LLMs.
5. Proficiency in Python and AI frameworks, including PyTorch, Hugging Face Transformers, LangChain.
6. Solid understanding of transformer architectures, optimization techniques, and generative workflows.
7. Experience deploying AI models into production APIs, services, or cloud-based environments.
8. Familiarity with Retrieval-Augmented Generation (RAG) pipelines.
9. Experience with diffusion models for image or multimodal generation.
10. Cloud AI platform experience (Azure, AWS, GCP).
11. Strong leadership, mentoring, and communication abilities.
12. Creative problem-solving mindset.
13. Ability to thrive in fast-paced, research-driven environments.