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Mid-level experience amplifies competition but niche Claude/AI prompt skills reduce candidate density.
Core full‑stack skills are transferable, but Claude-focused AI prompt engineering raises industry specificity to medium.
Numerous explicit 'Must Have' technical skills and a practical assessment make shortlisting highly strict.
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Own end-to-end AI application development using Claude, covering backend, frontend, and AI services.
Translate business requirements into precise Claude prompts to generate production-quality code in Java, Python, and React.
Collaborate with internal IT teams to design and deliver complete AI-powered software solutions.
4-7 years of software development experience with demonstrable production use of Claude or equivalent AI coding assistants.
Strong backend experience in Java (OpenJDK 21) with Spring Boot and Python with FastAPI for AI microservices.
Proficiency in frontend technologies: React, Next.js, and TypeScript.
Experience designing data models with Azure SQL, containerizing services with Docker, and creating prompt engineering for AI development.
Experienced in AI-assisted full-stack development primarily using Claude or similar AI tools in production.
Capable of integrating AI frameworks and platforms including knowledge of LangChain, Microsoft Azure AI services, and Spring AI is advantageous.
Comfortable working across business analysis, prompt engineering, and multi-technology stacks to deliver integrated AI applications in cloud environments.