SQL Developer – AI Prompting & Context Engineering

This is a dual role, split between approximately 60% AI-assisted development and agent orchestration, and 40% SQL Server development supporting large-scale data migration. You’ll work within the development team and report to the Software Manager, combining practical AI skills with strong SQL expertise to deliver reliable, efficient solutions. Key Responsibilities AI-Assisted Development & Agent Orchestration (c. 60%) Use AI coding assistants, such as Claude Code or GitHub Copilot, across the development lifecycle, including code generation, refactoring, testing, documentation and review. Build and maintain effective prompts, system instructions, reusable skills and context to produce consistent, reliable AI outputs. Design and orchestrate agents and multi-agent workflows, including task decomposition, tool use, agent hand-offs and human-in-the-loop checkpoints. Connect agents to internal systems, databases and APIs, for example through MCP or function calling. Evaluate AI output for accuracy, regression, cost and latency, and refine workflows based on results. Apply appropriate safeguards for data privacy, security and hallucination risk, particularly when customer or school data is involved. Identify and prototype opportunities to apply AI to development and data migration, and share best practice by supporting and coaching colleagues. SQL Server & Data Migration (c. 40%) Design, develop and maintain scalabl