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Tier-1 brand, mid-level generalist full-stack role and metro location increase applicant competition.
Full-stack and LLM skills are transferable, but pharma GenAI context adds moderate domain specificity.
Explicit 5–9 years plus required LLM, cloud, and DevOps skills enforce strict technical filters.
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Develop and maintain full stack GEN AI web applications for various Process Development functions (Drug Substance, Drug Product, Attribute Sciences & Combination Products) in Operations.
Work on both front-end (React, Angular, Fast API) and back-end (Python, Java, Node.js) technologies.
Collaborate with design and product teams to translate user needs into technical requirements, ensuring system uptime and optimal performance.
5 to 9 years of experience in Full Stack Software Engineering and Web development.
Bachelor’s or Master’s degree (field not explicitly mentioned).
Experience with API integration, serverless, microservices architecture, AWS, SQL/NOSQL databases, and vector databases for large language models.
Experience with popular large language models (such as OpenAI), frameworks like Langchain or LlamaIndex, prompt engineering, and DevOps CI/CD pipelines.
Experienced in developing and maintaining AI-driven web applications integrated with large language models in a regulated pharma/biotech environment.
Proficient in both frontend and backend development with strong understanding of cloud computing and microservices architecture.
Able to operate in global, virtual teams with capability to prioritize multiple tasks and deliver efficient, well-tested code.