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Tier‑1 brand, generalist full‑stack title, mid‑level experience band, and metro location increase applicant competition.
Core full‑stack and AI integration skills transfer across industries, though regulated finance experience is preferred.
Explicit 3+ years, broad mandatory tech stack, regulated environment and degree requirement make screening strict.
Design, develop, deploy, and maintain full stack applications supporting applied AI solutions and enterprise platforms.
Integrate AI/ML capabilities, model outputs, data services, APIs into product experiences and provide ongoing platform support including enhancements, defect resolution, and performance improvements.
Collaborate with product managers, data scientists, and engineering teams to translate requirements into technical designs, implement solutions, conduct testing, and ensure production readiness and maintainability.
3+ years of experience in software development, full stack engineering, or related technology roles.
Bachelor's degree in Computer Science, Engineering, or related discipline, or equivalent work experience.
Experience with enterprise application development using modern application, API, platform technologies, agile practices, CI/CD, automated testing, and production support.
Experience with Python, Java, JavaScript/TypeScript, React, Node.js, SQL/NoSQL databases, and cloud/containerization technologies.
Experience in financial services, enterprise technology, or other regulated environments with familiarity handling security, privacy, and compliance in software solutions.
Practical knowledge of AI-enabled applications including generative AI, large language models, prompt orchestration, AI/ML integrations, and automation workflows.
Effective collaborator who can work across product, engineering, data science, platform, operations, risk, and governance teams to deliver scalable, secure, maintainable AI-enabled software.