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Tier-1 brand and metro location increase applicant density, but seniority reduces competition.
Requires enterprise product and AI experience, moderately transferable across SaaS engineering roles.
Explicit 10+ years plus deep full-stack and AI requirements create strict technical filters.
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Lead design and development of large-scale, full-stack product initiatives with focus on scalability, reliability, and performance.
Drive technical architecture, standards, and adoption of AI-powered features including LLM-based experiences and intelligent automation.
Mentor senior engineers, conduct architecture reviews, and influence engineering strategy across multiple teams to raise engineering quality.
10+ years of software engineering experience delivering complex enterprise products.
Strong expertise in front-end technologies (JavaScript, TypeScript, React, Web Components) and backend engineering with distributed systems and cloud-native architectures.
Experience designing scalable systems and leading multi-team technical initiatives without direct authority.
Work Experience Required: 10+ years
Experienced in building and architecting enterprise-grade scalable products, comfortable with technical leadership and decision-making at senior levels.
Knowledgeable in AI technologies including Generative AI, LLMs, RAG architectures, and integration of AI capabilities into products.
Has strategic mindset for engineering standards, operational excellence, and cross-functional collaboration with product, UX, and data science teams.