Senior Generative Ai Engineer

Job Summary

• 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 zeroshot fewshot and chainofthought prompts for large language models (LLMs).
  
• Finetune and adapt LLMs using techniques like LoRA QLoRA and PEFT for domainspecific 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.
  

Requirements

• Fluency in Arabic and English (spoken and written).
  
• 4 years of AI/ML experience with 2 years in Generative AI or LLM applications.
  
• Expertlevel skills in prompt engineering.
  
• Handson experience finetuning 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 cloudbased environments.
  
• Familiarity with RetrievalAugmented 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 problemsolving mindset.
  
• Ability to thrive in fastpaced researchdriven environments.
  

Key Skills

• APIs
• C/C++
• Computer Graphics
• Go
• React
• Redux
• Node.js
• AWS
• Library Services
• Assembly
• GraphQL
• High Voltage

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