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Popular fullstack title but senior level and specialized AI requirements moderate applicant competition.
Core fullstack skills are transferable, but LLM, vector DB, and AI orchestration increase domain specificity.
Strong 7+ years requirement plus mandatory fullstack, AI integration, cloud, and containerization skills.
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Design, develop, and maintain scalable, secure web applications using modern frontend and backend technologies with AI-augmented engineering tools.
Integrate and consume RESTful, GraphQL, and LLM-based APIs, implementing AI-driven automation in testing and deployment pipelines.
Lead architectural decisions including microservices and AI service orchestration; mentor developers on AI-assisted development practices.
7+ years of professional full stack development experience.
Proficiency in JavaScript/TypeScript with React, Next.js, or Vue.js; backend experience with Node.js, Python (Django/FastAPI/Flask), or Java (Spring Boot).
Hands-on experience integrating LLM APIs or AI SDKs (e.g., OpenAI, Anthropic, AWS Bedrock).
Experience with cloud platforms (AWS, Azure, GCP), containerization (Docker, Kubernetes), and CI/CD pipelines.
Experienced in AI-augmented software engineering including AI-powered code generation and automation in development workflows.
Skilled in microservices architecture and AI service orchestration with familiarity in vector databases and prompt orchestration frameworks.
Comfortable working in fast-paced, innovation-driven environments and mentoring peers on AI-enhanced development practices.