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Medium competition due to generalist fullstack title and consulting visibility with AI specialization.
Medium because fullstack and GenAI skills transfer broadly, but client-facing consulting experience narrows fit.
High due to explicit 10+ years requirement and multiple mandatory fullstack, cloud, and GenAI skills.
Deliver hands-on full stack solutions embedded within client environments, focusing on Java backend, React frontend, and AI/GenAI integration.
Design, develop, and deploy scalable microservices and frontend applications using Java, Spring Boot, React.js, and AI technologies including LLM and RAG.
Serve as primary technical interface with client stakeholders; conduct architecture reviews, prototype solutions, and mentor client engineering teams.
Minimum 10 years of full stack engineering experience including Java, React, and AI/GenAI production expertise.
Proficiency with Spring Boot, microservices design patterns, React.js (TypeScript, Redux), and AI technologies like LangChain or LlamaIndex.
Experience with cloud platforms AWS or Azure plus Docker, Kubernetes, and CI/CD pipeline management.
Work Experience Required: 10+ years; Notice Period: Not explicitly mentioned in the JD.
Experienced in client-facing or consulting engineering roles with ability to operate in ambiguous, fast-paced environments.
Strong system design skills including distributed systems and event-driven architecture.
Proven ability to engage senior technical stakeholders (CTOs, engineering directors) with credibility and deliver business-value solutions quickly.