We seek a Senior Generative AI Engineer to lead the design, development, and deployment of advanced Generative AI solutions. The ideal candidate will have extensive experience in prompt engineering, LLM fine-tuning, and deploying generative models into production environments. This role involves working with content in both Arabic and English, hence proficiency in both languages is required.
Work Conditions: On-site, Full-time
Location: Riyadh, Saudi Arabia
Key Responsibilities:
- Lead and manage generative AI projects from concept to production.
- Design, prototype, and optimize generative AI solutions including text generation, summarization, classification, and synthetic data generation.
- Design, test, and optimize zero-shot, few-shot, and chain-of-thought prompts for large language models (LLMs).
- Fine-tune and adapt LLMs using techniques like LoRA, QLoRA, and PEFT for domain-specific applications.
- Integrate generative models into APIs, cloud services, and production systems.
- Optimize inference performance for cost, speed, and scalability.
- Define and track key evaluation metrics (BLEU, ROUGE, perplexity, factuality).
- Stay current with the latest GenAI research and trends (LLMs, diffusion models, RAG, multimodal AI).
- Collaborate with internal teams, external vendors, and research communities.
- Mentor and guide junior AI engineers and data scientists.
Skills & Qualifications:
- Professional in Arabic and English (spoken and written).
- 4+ years of AI/ML experience with 2+ years in Generative AI or LLM applications.
- Expert-level skills in prompt engineering.
- Hands-on experience fine-tuning LLMs.
- Proficiency in Python and AI frameworks, including PyTorch, Hugging Face Transformers, LangChain.
- Solid understanding of transformer architectures, optimization techniques, and generative workflows.
- Experience deploying AI models into production APIs, services, or cloud-based environments.
- Familiarity with Retrieval-Augmented Generation (RAG) pipelines.
- Experience with diffusion models for image or multimodal generation.
- Cloud AI platform experience (Azure, AWS, GCP).
- Strong leadership, mentoring, and communication abilities.
- Creative problem-solving mindset.
- Ability to thrive in fast-paced, research-driven environments.
