Description

You will design and own end-to-end Generative AI architectures.

Responsibilities

• Define end-to-end GenAI architecture covering data ingestion through UI/API.
• Design scalable solutions leveraging LLMs, RAG, fine-tuning, and agent-based patterns.
• Develop RAG pipelines using vector databases and implement prompt engineering strategies.
• Guide fine-tuning processes and design multi-modal GenAI solutions.
• Act as the technical advisor for GenAI initiatives, translating business use cases into technical designs.

Required Skills

• 5+ years of experience in AI/ML architecture and system design.
• Strong hands-on experience with LLMs and GenAI frameworks like LangChain and LlamaIndex.
• Proficiency in Python and designing with REST APIs.
• Experience with cloud platforms including AWS, Azure, and GCP.
• Expertise in RAG implementation, prompt engineering, and agent workflows.
• Knowledge of vector databases and embeddings.
• Experience designing for multi-tenant, enterprise-grade GenAI systems.
• Understanding of model evaluation, cost optimization, and scalability trade-offs.

Key Skills

Education

Any Graduate