Generative AI Engineer قالب وصف وظيفي (يونيو 2026) (تنزيل مجاني)

What does a Generative AI Engineer do?

The Generative AI Engineer is responsible for building applications and systems powered by generative AI models, including large language models, image generation systems, and multimodal AI. This role focuses on applying the latest generative AI capabilities to solve real-world business problems at scale.

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What are the Key Responsibilities of Generative AI Engineer

Design and develop generative AI applications using LLMs and diffusion models.
Build and optimize RAG (Retrieval-Augmented Generation) pipelines for enterprise use cases.
Fine-tune and adapt pre-trained foundation models for domain-specific applications.
Integrate generative AI capabilities into existing products via APIs and SDKs.
Evaluate outputs for quality, safety, and alignment with business requirements.
Stay current with rapidly evolving generative AI research and tooling.

What are the Skills and Requirements for a Generative AI Engineer?

Hands-on experience with LLM APIs (OpenAI, Anthropic, Google Gemini) and open-source models.
Proficiency in building RAG systems with vector databases such as Pinecone or Weaviate.
Strong Python skills and familiarity with LangChain or LlamaIndex.
Understanding of prompt engineering, fine-tuning, and RLHF concepts.

What are the KPIs to track for Generative AI Engineer?

Performance is measured by the quality and reliability of generative AI features shipped, user satisfaction with AI outputs, latency benchmarks, and cost per generation.

Output Quality

User satisfaction scores and human evaluation ratings of AI-generated content.

Feature Delivery

Number of generative AI features shipped on time and within scope.

Cost Efficiency

Optimization of inference costs without degrading output quality.

تقارير إلى

Head of AI / VP of Engineering

يتعاون مع

Product Managers, ML Engineers, Data Scientists, UX Designers

يؤدي

Are any specific tools or software required for the Generative AI Engineer role?

OpenAI API
LangChain
LlamaIndex
Pinecone
Hugging Face
Python

What is the qualification of Generative AI Engineer?

Bachelor's degree in Computer Science or related field; 2+ years of experience building production applications with generative AI or LLM technologies.

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