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Tier-1 employer, metro location, and generalist full-stack title increase applicant density.
Requires AI product and regulated-system experience, reducing cross-industry transferability.
Explicit 8-13 years, mandatory full-stack and AI/regulatory experience enforces strict filters.
Own end-to-end development and delivery of a small full-stack AI product or substantial technical workstream from problem framing through launch, support transition, and adoption.
Lead engineering decisions and build secure, accessible, reliable products integrating frontend, backend, AI capabilities (ML, GenAI, RAG, bounded agents), APIs, data flows, and human review.
Manage sprint and release planning, production architecture, testing, CI/CD, governance, GxP controls, incident response, and measurable business outcomes.
8-13 years experience with Bachelor’s or Master’s degree in Computer Science, IT, or related field.
Demonstrated end-to-end ownership of at least one production full-stack application, digital product, automation, or AI-enabled system delivering measurable outcomes.
Strong hands-on proficiency in JavaScript or TypeScript and at least one backend language (Python, Java, C#, or Node.js), plus SQL.
Work Experience Required: 8-13 years in relevant software engineering roles.
Experienced full-stack engineer with demonstrated leadership delivering integrated AI-enabled products involving frontend, backend, and data systems.
Proven ability to own architecture, delivery, operations, and release management in regulated or enterprise environments favoring measurable business value.
Comfortable collaborating cross-functionally with ML specialists, product, UX, and control functions, leading technical delivery while remaining hands-on.