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Mid-level, generalist fullstack title and common 3–7 years range increases candidate competition.
Core fullstack skills are transferable, though AI/prompt-engineering adds moderate domain specificity.
Explicit 3–7 years, mandatory fullstack tech skills and AI tooling produce moderately strict filters.
Convert business/product requirements into structured technical artefacts (specifications, API contracts, diagrams, acceptance criteria) to enable AI-driven development.
Use AI tools to generate, validate, optimise, and secure code; design and maintain scalable backend and frontend systems with .NET, Node.js, React, Next.js.
Reduce manual engineering effort via automation, create reusable AI prompts/workflows, and document architecture/engineering patterns.
3 to 7 years of hands-on software development experience.
Strong coding skills in at least one: .NET, Node.js, TypeScript, or React.
Experience in API development (REST and/or GraphQL) and understanding of relational/NoSQL databases.
Hands-on experience using AI coding tools (e.g., ChatGPT, GitHub Copilot, Claude, Cursor) and strong prompt-engineering skills.
Comfortable operating in an AI-first engineering environment, leveraging AI as a development partner rather than just a utility.
Experience with structured technical specification creation and system design to drive AI-assisted software delivery.
Background in scalable backend/frontend development with automation-first and design-first mindset, ideally familiar with fast-paced or startup environments.