Senior Generative AI Engineer
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Job Location:
Monthly Salary:
Experience Required:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
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
