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Mid-level full-stack role at known biotech, metro location and broad generalist requirements drive high competition.
Core full-stack and AI skills transfer across industries, but GxP and life-sciences experience increases domain specificity.
Explicit 5–9 years requirement plus mandatory full-stack, AI, and regulated-delivery skills increases shortlisting strictness.
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Independently own and deliver defined full-stack production components or vertical slices within AI-driven enterprise software products.
Design, implement, test, monitor, and maintain frontend and backend layers integrating APIs, AI models, automation, and data workflows to meet business and user requirements.
Collaborate cross-functionally to ensure components are secure, accessible, supportable, and meet quality standards including Responsible AI and GxP controls.
Bachelor’s or Master’s degree in Computer Science, IT, or related field.
5 to 9 years of experience in software engineering focusing on full-stack product development.
Proficiency in JavaScript or TypeScript and at least one backend language among Python, Java, C#, or Node.js; plus SQL.
Demonstrated ownership of at least one production component involving frontend, backend, API, data, integration, automation, or AI.
Experienced full-stack engineer comfortable designing and operating production slices with moderate complexity across frontend, API, data, integration, and AI layers.
Familiar with AI integration (LLMs, embeddings, RAG, automation) and cloud-native practices like containers, CI/CD, monitoring, and incident management.
Ability to align technical decisions with compliance frameworks (GxP, privacy, security) and to mentor junior engineers and improve reusable engineering practices.