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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Software Engineer, Learning Frontiers - **Company:** Google LLC - **Location:** New York, NY, United States - **Experience:** Experienced - **Salary:** $207,000.0 - $300,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), JavaScript (Programming Language), Artificial Intelligence, Bioinformatics, C++ (Programming Language), Cloud Computing, Cognitive Science, Python (Programming Language), Software Architecture, Rapid Prototyping Process, Next.js, Systems Integration, TypeScript, Large Language Models, Prompt Engineering, Kotlin, Information Technology, Evaluation of Large Language Models, Data Generation - **Published:** October 9, 2026 - **Apply:** https://www.manhattanjobs.com/job.asp?id=3426262267&tx=KR4141FFF&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain., * Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience. * 8 years of experience programming in Python, TypeScript/JavaScript, C++, Java, Kotlin, or Go. * 5 years of experience testing and launching software products, and 3 years of experience with software design and architecture. * Experience integrating generative AI tools or LLM interfaces into workflows (e.g., prompt engineering, agent development, evaluation suites, synthetic data generation)., * Experience in learning and education, cognitive science, psychometry, or learning analytics. * Experience building or leveraging rapid prototyping tech stacks (e.g., cloud-native development, Vercel). * Multimodal experience across modalities such as audio or video. * Demonstrated track record thriving in 0-to-1 startup or experimental lab environments, building and owning methodical LLM evaluation suites beyond surface-level proofs of concept. * Interdisciplinary or hybrid background combining Computer Science with Education, Cognitive Science, Learning Sciences, or Business. ## Description * Drive early-stage idea development, blue-sky exploration, and rapid prototyping of novel AI-powered learning experiences, developing research-backed hypotheses and evaluating and measuring impact through live experiments and user studies. * Explore and push the boundary of AI capabilities to build advanced tools for students and teachers, supported by learning science and pedagogical principles. * Partner and lead collaborations across Google's flagship product surfaces and product areas to graduate and scale validated educational concepts. * Influence the team's technical and product direction from zero-to-one concept ideation through iterative experimentation. * Scope, design, and build agentic features across various frameworks and infrastructure. 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