Generative AI Engineer – Python, LLM, Agentic Workflows

Role Overview: Contribute to the development and enhancement of Generative AI capabilities within enterprise applications. Work alongside senior engineers to implement agentic workflows, build backend services, integrate LLM-based features, and support Retrieval Augmented Generation (RAG) systems. Requires strong programming foundations, hands-on experience with Python, and growing expertise in modern GenAI frameworks. Role Description: Generative AI Feature Development: Develop and enhance Generative AI features within enterprise-grade applications under the guidance of senior engineers. Implement agentic workflows, prompt-based solutions, and LLM integrations using established frameworks and cloud-based AI services. Backend & API Engineering: Build and integrate backend services and REST APIs to support GenAI features across platforms. RAG (Retrieval-Augmented Generation) Support: Support RAG implementations, including embedding generation, vector database integration, and contextual...