Description

• Design end-to-end architectures for generative AI applications (e.g., chatbots, copilots, content generation systems).
• Evaluate and select appropriate models (e.g., GPT, open-source LLMs, multimodal models) based on 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 (AWS, Azure, GCP).
• Integrate GenAI solutions with enterprise systems, APIs, and data pipelines.
• Ensure responsible AI practices including fairness, explainability, and compliance.
• Lead model fine-tuning, evaluation, and performance optimization efforts.
• Collaborate with data scientists, engineers, and product teams to translate business needs into AI solutions

Key Skills

Education

Any Gradute