Back
Tier-1 brand, popular fullstack title, mid-level experience, and metro location increase applicant competition.
Core full-stack and AI skills are transferable, but Responsible AI and GxP expectations add domain specificity.
Explicit 5–9 years plus mandatory full-stack, AI integration, and regulated-delivery skills enforce strict filtering.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Independently own and deliver defined full-stack production components or vertical slices within enterprise AI applications and automation products.
Translate scoped requirements into reliable software covering frontend UI, backend APIs, data integration, and AI-model embedding, ensuring security, accessibility, test coverage, and production readiness.
Define, monitor, and maintain key performance and quality indicators including availability, latency, errors, AI evaluation, and user experience while collaborating across product, architecture, ML, security, and support teams.
Bachelor's or Master's degree in Computer Science, IT or related field.
5 to 9 years of experience in software engineering with full-stack product ownership.
Strong proficiency in JavaScript/TypeScript for frontend and at least one backend language (Python, Java, C#, Node.js) plus SQL experience.
Work Experience Required: 5 to 9 years
Experienced in full lifecycle AI-enabled product development integrating predictive models, LLMs, RAG, and automation workflows into production software.
Skilled at independently designing, building, releasing, monitoring, diagnosing, and maintaining scalable full-stack components with layered testing and cloud deployment.
Comfortable working in regulated environments (e.g., healthcare/life sciences) balancing security, compliance (GxP), and Responsible AI practices.