Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Senior, niche fullstack+GenAI skills reduce applicant density but popular Fullstack title keeps competition medium.
Enterprise Java/React with GenAI consulting skills are transferable but client-facing and domain-specific, so medium sensitivity.
Explicit 10+ years and mandatory Java, React, GenAI, cloud, Docker, Kubernetes and consulting experience increases strictness to high.
Deliver hands-on full stack engineering solutions embedded within client environments using Java, React, and AI/GenAI technologies.
Design and develop scalable Java microservices, high-performance React frontend applications, and integrate AI/GenAI features such as LLMs and RAG pipelines.
Act as primary technical interface with client stakeholders, managing architecture reviews, technical assessments, and mentoring client engineering teams.
10+ years of full stack engineering experience with Java backend, React frontend, and AI/GenAI integration in production environments.
Proficiency with Java (Spring Boot, Spring Security, Spring Cloud, Hibernate/JPA), React.js (TypeScript, Redux, REST API integration), and AI engineering (LLM integration, RAG pipelines, LangChain or LlamaIndex).
Experience with cloud platforms AWS or Azure, including Docker, Kubernetes, and CI/CD pipeline management.
Experience working in client-facing or consulting roles; strong communication and stakeholder management skills.
Senior full stack engineer with combined expertise in Java backend, React frontend, and AI/GenAI integration, capable of end-to-end feature ownership.
Consulting or client-embedded engineering experience, comfortable managing ambiguity and engaging technical leadership (CTOs, engineering directors).
Strong systems design and architecture skills with ability to influence client technology strategy and mentor engineering teams.