SQL Developer - AI Prompting & Context Engineering

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 scalable SQL Server T-SQL solutions and related tools for data cleansing, migration and reconciliation.

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