Java Full Stack Ai

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 Role summary We're looking for a Senior AI with Java Full Stack Experience to join our learner-centered team, which is committed to delivering a next-gen transformative AI-powered learning infrastructure for AI2 org. In this role, you'll design, build, and deploy full-stack web solutions that are reliable, scalable, and high-performant, using Google technologies to build AI-powered learning flows. This is a unique opportunity to influence the future of learning experiences for AI2 org, developing integrated and scalable solutions from the ground up. You'll also be part of a supportive and diverse team committed to psychological safety and fun. Minimum qualifications You must meet these minimum qualifications to apply for this job Bachelor's degree or equivalent practical experience 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 Preferred qualifications Having as many of these specific qualifications is a plus, but transferable skills/experiences may be equally valuable Demonstrated experience with service architecture, domain-driven design, and the development of scalable, distributed services. Demonstrated experience in the end-to-end design, scaling, and performance tuning of AI-integrated web applications within dynamic environments. Demonstrated experience running Kanban boards and sprints while forecasting effort for complex engineering projects. Demonstrated experience with Google ADK, MCP, and integrating Gemini AI APIs into production web applications. Demonstrated experience with ML model fine-tuning, evaluation, and performance optimization for user-facing systems.