Description

Design and implement end-to-end architectures for generative AI applications, including chatbots, copilots, and content generation systems.

Responsibilities

• Evaluate and select appropriate models, such as GPT, open-source LLMs, and multimodal models, based on specific use cases.
• Build and optimize prompt engineering strategies and retrieval-augmented generation (RAG) pipelines.
• Develop scalable, secure, and cost-efficient AI solutions on cloud platforms.
• Lead model fine-tuning, evaluation, and performance optimization efforts.
• Integrate GenAI solutions with enterprise systems, APIs, and data pipelines.

Required Skills

• 5+ years of experience in software architecture or AI engineering.
• Proficiency with AWS, Azure, and GCP for cloud-based AI solutions.
• Strong understanding of REST APIs and enterprise system integration.
• Experience with LLMs, prompt engineering, and RAG architectures.
• Ability to ensure responsible AI practices, including fairness and compliance.
• Strong collaboration skills to work with data scientists, engineers, and product teams.

Preferred Skills

• Experience with multimodal model integration.
• Background in developing content generation systems.

Key Skills

Education

Any Gradute