Job Description

We are looking for a Prompt Engineer with expertise in Python and SQL to develop, optimize, and implement AI-powered automation solutions. In this role, you will design structured AI prompts, integrate LLMs into workflows, and drive GenAI adoption within the team. You will also play a key role in analyzing AI outputs, optimizing performance, and building scalable AI applications. Key Responsibilities: Prompt Engineering Optimization: Design, refine, and structure prompts to maximize LLM effectiveness for automation. AI-Driven Automation: Develop and implement AI-powered automation solutions using LLMs and AI wrappers. GenAI Training Adoption: Create structured prompt libraries, training materials, and best practices to enhance team-wide AI adoption. Data Analysis Workflow Optimization: Utilize SQL and Python to build, analyze, and optimize AI workflows for efficiency and accuracy. Performance Monitoring Iteration: Perform detailed accuracy analysis on AI-generated outputs, identify trends, and drive rapid improvements. Cross-Functional Collaboration: Work closely with data scientists, developers, and product teams to deploy AI solutions in production. Continuous Learning AI Innovation: Stay updated on cutting-edge AI tools and identify potential business applications. (Optional): Work with Excel and BI tools for data visualization and analysis. Qualifications 3+ years of experience in AI, automation, or software development. Solid understanding of prompt engineering techniques to fine-tune AI model responses. Good knowledge