Generative AI Engineer

Required Skills: Prompt engineering and LLM orchestration. AI agent frameworks and workflow automation. Retrieval-Augmented Generation (RAG). Cloud platforms and deployment practices. Data processing and system integration. Understanding of AI ethics, security, and governance.

Responsibilities: Design and develop AI-powered applications and services. Integrate large language models (LLMs) into web, mobile, and enterprise systems. Build AI agents capable of reasoning, planning, and executing tasks. Create RAG solutions that connect AI models to company knowledge bases and documents. Develop prompt engineering strategies and AI workflows. Optimize performance, reliability, security, and cost of AI systems. Collaborate with business stakeholders to identify opportunities for AI-driven automation and innovation. Monitor, evaluate, and continuously improve AI solutions in production. Professional SummaryGenerative AI Engineer with expertise in designing and deploying AI-powered applications that transform business operations through automation, intelligent workflows, and large language models. Skilled in integrating modern AI technologies into scalable software solutions, delivering practical tools that improve productivity, decision-making, and customer experience.