Job Summary
Job responsibilitiesAs an Engineer in the T-rex team, 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. Role summaryWe're looking for a Application Engineer to join our fun, nimble, curious, and 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 qualificationsYou must meet these minimum qualifications to apply for this jobBachelor's degree or equivalent practical experience2-4 year of experience with software development in one or more programminglanguages (e.g., Python, Java, JavaScript).Experience working with one or more of the following: web or mobile application development, Unix/Linux environments, distributed and parallelsystems, machine learning, information retrieval, natural languageprocessing, networking, developing software systems, and/or securitysoftware developmentPreferred qualifications Having as many of these specific qualifications is a plus, but transferable skills/experiences may be equally valuableDemonstrated 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.
Key Responsibilities
Job responsibilitiesAs an Engineer in the T-rex team, 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. Role summaryWe're looking for a Application Engineer to join our fun, nimble, curious, and 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 qualificationsYou must meet these minimum qualifications to apply for this jobBachelor's degree or equivalent practical experience2-4 year of experience with software development in one or more programminglanguages (e.g., Python, Java, JavaScript).Experience working with one or more of the following: web or mobile application development, Unix/Linux environments, distributed and parallelsystems, machine learning, information retrieval, natural languageprocessing, networking, developing software systems, and/or securitysoftware developmentPreferred qualifications Having as many of these specific qualifications is a plus, but transferable skills/experiences may be equally valuableDemonstrated 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.