Associate Principal Engineer, Java Full Stack Engineer, AI
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Protocol Intelligence
Data-driven signals on your job's competitivenessGurgaon senior Java fullstack role with broad AI/cloud requirements yields moderate competition.
Java, React and cloud skills are transferable, but regulated enterprise and LLM requirements increase specificity.
Mandatory 9+ years plus Java/Spring, cloud, architecture and AI requirements increase filtering strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Design and implement scalable full stack enterprise applications across frontend, backend, integration, and data layers with hands-on coding responsibility.
Lead system design, architecture, and integration decisions including AWS cloud-native engineering and application of AI technologies (LLM, RAG workflows) to SDLC and enterprise use cases.
Drive CI/CD, deployment automation, security, scalability, and collaboration with global teams for enterprise solution delivery.
Minimum Requirements
9+ years total professional experience.
Proficient in Java, Spring Boot, Microservices, REST APIs, and modern frontend technologies such as React or Angular.
Experience with AWS cloud architecture, event-driven systems, Python for enterprise integrations, and AI application frameworks (LLM, RAG).
Bachelor's or Master's degree in computer science, Information Technology, or related field.
Ideal Candidate Profile
Experienced in full stack enterprise application development with a strong focus on scalable, secure, and resilient system architecture.
Skilled in integrating AI/ML technologies into software development life cycle and enterprise use cases.
Comfortable working as a 100% hands-on engineer in globally distributed, regulated industry environments, preferably financial services.