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Strong Tier-1 brand plus metro location and broad requirements balanced by seniority reducing applicant density.
Core full-stack and AI skills transferable, but pharmaceutical regulatory experience increases domain preference.
Mandatory 10+ years, specific LLM, cloud, regulatory and leadership requirements make filters stringent.
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Lead architecture, development, and delivery of scalable, secure, enterprise-grade Digital R&D applications with full-stack (frontend, backend, APIs) responsibilities.
Mentor and manage multiple engineering pods/teams, promoting innovation, high-quality standards, and compliance with regulatory requirements (GxP, GDPR).
Drive DevOps, cloud (AWS) deployment, CI/CD, and contribute to technical solution discovery collaborating with cross-functional teams using agile methodologies.
10+ years professional experience in software engineering with leadership in enterprise full-stack development.
Bachelor’s or master’s degree in Computer Science, Engineering, or related field.
Hands-on expertise with LLM & Agentic AI systems including frameworks such as Lang Chain, Llama Index, AWS Bedrock; experience in building RAG pipelines, AI agents, and multi-agent orchestration.
Strong skills in React.js, Python, Node.js, FastAPI, microservices, RESTful APIs, AWS services (EC2, Lambda, S3, RDS), containerization (Docker/Kubernetes), CI/CD, and knowledge of GxP/GDPR compliance.
Experienced leader capable of managing multiple engineering teams delivering complex, regulated healthcare/life sciences software products.
Strong background in integrating advanced AI/ML technologies, including LLM frameworks and autonomous workflows, into scalable, secure digital platforms.
Proficient in cloud-native and DevOps practices within agile, cross-functional environments focusing on innovation and regulatory compliance.