Senior AI Engineer (Java Full-Stack)

Prudent Technologies and Consulting

San Jose, CA, United States of America • 12m ago • On-site

Senior

On-site

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Quick Facts

  • Full-stack Java engineering with a strong Generative AI focus
  • Drive Gemini-based and RAG/agentic AI capabilities on Google Cloud

Description

Design, build, and deploy scalable full-stack web solutions that integrate Generative AI into user-facing learning flows. Lead AI efforts including Google Gemini integrations, ML model fine-tuning, evaluation, and performance optimization, with expertise in RAG and agent-based architectures. Collaborate with Product and UX to prototype, refine requirements, and deliver reliable, high-performing systems.

Role Responsibilities

  • Collaborate with subject matter experts to translate challenges into solution designs with Product, UX, and engineering teams
  • Drive AI initiatives: Gemini integrations, ML fine-tuning, evaluation, and performance optimization
  • Prototype web solutions cross-functionally, gather feedback, and iteratively refine requirements
  • Develop, test, and monitor robust, scalable, and reliable web solutions
  • Use Google tools and solutions to build integrated, reusable, and extensible systems
  • Write and review technical documentation and code in Angular, TypeScript, Java, Kotlin, Python, or SQL
  • Implement Gemini integrations and support an agentic future via ML fine-tuning and AI performance evaluations
  • Manage stakeholder communication effectively

Requirements

  • Bachelor’s degree or equivalent practical experience
  • 10–12 years of software development experience with Java full-stack (Java, Angular)
  • Minimum 2 years of experience in AI technologies
  • Demonstrated production deployment of Google Gemini models using Vertex AI and the Agent Development Kit (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: web or mobile development, Unix/Linux, distributed and parallel systems, machine learning, information retrieval, NLP, networking, software systems development, and/or security
  • Good communication skills and stakeholder management

Benefits

  • Supportive, diverse team with a focus on psychological safety and fun

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