Tech Skills – 50%: Hands-on data and software engineering using Python, Java, TypeScripts, SQL, AWS, Snowflake, Starburst, BI platforms, GitHub Copilot, LLM/RAG and agent frameworks, MCP/API integrations, Playwright/browser automation, automated testing, observability, and secure enterprise deployment practices. •Design, build, test, and operate AI agents that plan and execute multi-step workflows using LLM reasoning, structured prompts, context and memory, retrieval, APIs, data tools, and human approval gates to enhance data engineering, reporting, testing, and operational processes.