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Tier-1 brand, mid-level generalist title, metro location, and broad required skills increase competition.
Fullstack engineering skills are broadly transferable, though SaaS and AI specialization increases domain bias.
Explicit 3+ years and mandatory fullstack tech stack and SaaS experience create strict shortlisting filters.
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Lead design, development, testing, and delivery of scalable AI-driven software products and features end-to-end.
Conduct technical evaluations including spikes and proof-of-concepts on new AI tools and frameworks, and present findings to the team.
Collaborate with Product and Design teams on requirements, and resolve production issues actively, mentoring junior engineers.
3+ years of professional software development experience.
Bachelor's degree in Computer Science or a similar technical discipline.
Proficiency in at least one object-oriented programming language (e.g., Java, Python, TypeScript/JavaScript).
Proficiency with web technologies (React.js, Node.js, HTML5, CSS, JSON), relational databases and SQL, RESTful API development, and test automation frameworks.
Experienced in developing and scaling SaaS applications with emphasis on AI and agent-driven development.
Demonstrates strategic engagement with innovation by exploring new AI-powered developer tools and delivering technical enhancements.
Able to translate complex requirements into technical solutions and operate effectively within a dynamic, cross-functional environment.