Gen AI Developer

 Solution Architecture: Design and implement end-to-end Generative AI workflows, including RAG (Retrieval-Augmented Generation) pipelines and agentic frameworks.
. Google AI Integration: Leverage the Vertex AI platform to manage the machine learning lifecycle, specifically utilizing Gemini models for text, code, and multimodal tasks.
. Prompt Engineering & Tuning: Develop sophisticated prompt strategies and perform fine-tuning on Foundation Models to improve accuracy, safety, and relevance.
. API Development: Build and maintain scalable APIs and microservices to integrate AI capabilities into existing enterprise products.
. Cross-Functional Collaboration: Act as a technical consultant for product and business teams, ensuring AI initiatives align with user needs and ethical standards.
. Performance Optimization: Monitor and optimize model latency, token usage, and cost-efficiency in production environments.