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Tier-1 brand, mid-level fullstack title, metro location, and broad skillset make competition high.
Strong fullstack fundamentals transfer, but GxP/Responsible AI requirements add industry sensitivity.
Explicit 5–9 years and mandatory fullstack, AI, and GxP skills create strict shortlisting.
Own defined full-stack production components and vertical slices within enterprise AI applications and automation products, responsible for design, implementation, maintenance, monitoring, and support.
Translate scoped requirements into reliable software involving frontend UI, backend APIs, data models, and integration with AI/ML models and automation workflows.
Ensure components meet security, performance, accessibility, compliance (GxP, Responsible AI), and operational readiness with layered testing, CI/CD, observability, and incident response.
Bachelor's/Master's degree in Computer Science, IT, or related field.
5 to 9 years of relevant software engineering experience, including independent ownership of production frontend/backend/API/data/integration components.
Strong hands-on proficiency in JavaScript or TypeScript and at least one backend language like Python, Java, C#, or Node.js, plus SQL.
Experience working with full-stack product engineering from design through production deployment and monitoring.
Experienced in full lifecycle delivery of AI-enabled enterprise applications combining frontend, backend, API, data integration, and machine learning components.
Demonstrates ability to independently design, build, maintain, monitor, and troubleshoot production components with limited guidance.
Familiar with regulated or healthcare/life sciences environments and applying security, privacy, and compliance controls in software development.