Java Full-Stack AI Engineer

Quick Facts

• Role: Java Full-Stack AI Engineer

• Focus: Java/Angular full-stack development + AI (Generative AI, LLMs, RAG)

• Location: San Jose, CA (Onsite)

Description

Build, design, and deploy modern web applications while driving AI efforts using Google Gemini and Vertex AI. You will integrate agentic capabilities, design RAG architectures, and perform ML model fine-tuning and evaluation to deliver scalable, high-performance user-facing solutions.

Responsibilities

• Collaborate with subject matter experts to translate challenges into solution designs with Product, UX, and engineering teams

• Drive AI efforts including Gemini integrations, ML model fine-tuning, evaluation, and performance optimization

• Prototype web solutions cross-functionally, gather feedback, and iteratively refine requirements

• Develop, test, and monitor robust, scalable, reliable web solutions

• Leverage Google solutions and tools to build reusable, extensible systems

• Write and review technical documents and code using Angular, TypeScript, Java, Kotlin, Python, and SQL

• Implement Gemini integrations and support ML fine-tuning and AI performance evaluations for learning solutions

• Provide stakeholder management and maintain strong communication

Requirements

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

• Minimum 2 years experience in AI technologies

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

• Proven expertise in 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/mobile application development, Unix/Linux, distributed and parallel systems, machine learning, information retrieval, NLP, networking, software security

Benefits

Not specified in the posting.