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Tier-1 brand, mid-level fullstack role, and metro location create high applicant density.
Full-stack, cloud, and ML skills are broadly transferable but require relevant platform experience, so medium sensitivity.
Explicit 4-year minimum plus specific cloud, AI, and full-stack tech requirements indicates high strictness.
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Design, build, and deploy scalable AI applications using Google Cloud AI stack to solve business and partner management challenges.
Develop autonomous multi-agent systems and RAG architectures integrating internal knowledge bases and enterprise data with LLMs.
Integrate AI backend services with frontend web applications and manage AI-focused projects with minimal guidance.
Bachelor's degree in Computer Science, Electrical Engineering, Math, or related quantitative field, or equivalent practical experience.
4 years of software development and system design using Python, TypeScript/JavaScript, and SQL.
Experience with front end languages (JavaScript/TypeScript) and backend languages (Java, Python, or C++).
Experience working with database technologies (SQL, NoSQL).
Senior full-stack engineer comfortable working with minimal guidance on complex, ambiguous challenges.
Proficient in designing and deploying AI/ML solutions, including AI system architecture and generative AI integration.
Experienced in bridging frontend user experiences with complex backend data pipelines and collaborating with technical stakeholders.