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Popular mid-level fullstack+AI role with broad skills causes moderate competition.
Combination of full-stack and AI-specific skills makes background fit moderately sensitive across industries.
Explicit 3–5 years plus broad mandatory full-stack and AI tech requirements create high shortlisting strictness.
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Design, develop, and maintain scalable enterprise web applications with modern frontend, backend, AI, and cloud technologies.
Integrate AI-powered features such as conversational assistants, enterprise analytics, and workflow automation using LLMs, RAG, prompt engineering, and voice AI.
Deploy and optimize applications via containerization, CI/CD pipelines, and cloud/self-hosted infrastructure ensuring performance, security, and reliability.
3–5 years of professional experience in full stack development, AI-enabled applications, or related software engineering roles.
Strong programming skills in JavaScript or TypeScript and practical experience with Python; C# is advantageous.
Hands-on experience with modern frontend frameworks like React, Next.js, Vue.js, or Nuxt.js, and backend frameworks such as Node.js, NestJS, Express.js, Flask, or ASP.NET.
Experience with relational and NoSQL databases (PostgreSQL, MongoDB, MySQL, Firebase) and knowledge of LLM-based application development, RAG, AI agents, or prompt engineering.
Experienced in building and integrating AI-powered enterprise applications combining frontend, backend, and cloud deployments with secure, scalable architectures.
Comfortable working with micro-frontends, reusable components, real-time analytics dashboards, and business workflow automation.
Skilled at collaborating in cross-functional teams, applying CI/CD practices, and mentoring junior developers for technical knowledge sharing.