Java Full-Stack Developer (AI)

Nityo Infotech Corporation

San Jose, CA • 56m ago • Hybrid

Senior

Hybrid

Match your resume with similar open roles

Upload your resume to automatically match with active openings similar to this role.

PDF up to 10 MB

Your resume is private & secure

Resume Checker & Builder preview

Quick Facts

  • Role: Java Full-Stack Developer (AI)

  • Location: San Jose, CA

Description

Build and deploy AI-enhanced web applications using Java, Angular, and Google Cloud. The role focuses on production deployment of generative AI/LLM solutions with Google Gemini using Vertex AI and the Agent Development Kit (ADK), including RAG architecture and scalable backend services. You’ll support end-to-end design, scaling, and performance tuning for user-facing systems.

Responsibilities

  • Deploy Google Gemini models in production using Vertex AI and the Agent Development Kit (ADK)

  • Design and implement RAG (Retrieval-Augmented Generation) systems

  • Build backend services with Python (FastAPI) and run them on Google Cloud Run

  • Implement large-scale data retrieval strategies and manage enterprise data schemas

  • Work across distributed systems and production environments to tune performance

Requirements

  • 10–12 years of software development experience with Java full-stack (Java, Angular)

  • Minimum 2 years of experience in AI technologies

  • Demonstrated track record deploying Google Gemini models in production using Vertex AI and ADK

  • Proven expertise designing RAG systems

  • Strong proficiency in Python (FastAPI), Google Cloud Run, and large-scale data retrieval strategies

  • Experience with relational database architecture and enterprise data schema management

  • Experience with one or more of: web or mobile application development, Unix/Linux environments, distributed and parallel systems, machine learning, information retrieval, natural language processing, networking, software security

Benefits

  • Opportunities to build scalable, distributed AI-integrated web applications and work on generative AI, LLMs, and retrieval-augmented architectures.

  • Chance to run end-to-end design through scaling and performance tuning of production AI features.

See similar jobs

Explore similar jobs and use your resume score to choose where to apply next

See more

Unlock Full Resume Report