Java Full Stack AI developer

Position: Java Full Stack + AI
Location: San Jose, CA (Onsite)

• 10 to 12 years of experience with Software Development in Java Fullstack (Java, Angular)
• Minimum 2 years experience in AI Technologies
• Generative AI & LLMs: Demonstrated track record of deploying Google Gemini models in production using Vertex AI and the Agent Development Kit (ADK).
• RAG Architecture: Proven expertise in designing RAG systems.
• Backend & Cloud Infrastructure: Strong proficiency in Python (FastAPI), Google Cloud Run, and large-scale data retrieval strategies.
• Data Structures & Storage: Experience of relational database architecture and enterprise data schema management.
Experience working with one or more of the following: web or mobile application development, Unix/Linux environments, distributed and parallel systems, machine learning, information retrieval, natural language processing, networking, developing software systems, and/or security
Engineer you are responsible for building, designing, and deploying modern web applications. You'll leverage your technical skills to architect scalable and robust solutions, tackle dependencies, and shape the team's technical strategy. This role requires you to:
• Collaborate closely with subject matter experts to understand challenges and translate them into effective solution designs, partnering with Product, UX, and other engineering teams.
• Drive AI efforts including Gemini integrations, ML model fine-tuning, evaluation, and performance optimization to create user-facing solutions that are both scalable and high-performant.
• Drive cross-functional collaboration to prototype web solutions, gather feedback, and iteratively refine requirements.
• Develop, test, and monitor robust, scalable, and reliable web solutions that meet business needs.
• Leverage Google solutions and tools to create seamlessly integrated, reusable, and extensible systems.
• Write and review technical documents (product, technical design, developer documentation) and code in Angular, TypeScript, Java, Kotlin, Python, or SQL.
• Build our agentic future by implementing Gemini integrations, assisting with ML model fine-tuning, and executing AI performance evaluations to help develop intelligent, user-facing learning solutions.
• Senior AI Engineer with extensive experience in Generative AI, Retrieval-Augmented Generation (RAG) frameworks, and agent-based system architectures within the Google Cloud ecosystem.
• Good Communication skills with stakeholder management