Career Areas Career Stories Join Talent Community Candidate Login English English Italiano Español Français Português Norsk Deutsch 日本語 Bahasa melayu 中文 (简体) 中文 (繁體) 한국어 ภาษาไทย Nederlands Polski Yкраїнська Hrvatski Ελληνικά Magyar čeština Türkçe Pусский Haitian עברית Brazilian Português Dansk Suomi Svenska Français (Canada) Português (Portugal) Careers Home Life at BMS Career Areas Student Opportunities Events How We Recruit Career Stories Search this site Join Talent Community Candidate Login English English Italiano Español Français Português Norsk Deutsch 日本語 Bahasa melayu 中文 (简体) 中文 (繁體) 한국어 ภาษาไทย Nederlands Polski Yкраїнська Hrvatski Ελληνικά Magyar čeština Türkçe Pусский Haitian עברית Brazilian Português Dansk Suomi Svenska Français (Canada) Português (Portugal) Single PositionView All JobsFull Stack AI EngineerPrinceton - NJ - US No longer accepting applications.Job IDR1604278Date posted07/07/2026DepartmentNot ApplicablePosition Summary: We are seeking a strong Full Stack Developer to serve in an AI‑first, agile product team supporting Global Development Operations (GDO). This role is responsible for developing and operating AI-native products where large language models, agentic workflows, and data‑driven intelligence are the default approach to solving business problems—not an add‑on.The ideal candidate will bring deep hands-on programming experience delivering Generative and Agentic AI solutions in a regulated environment. Specific Responsibilities:Develop and maintain LLM-native and agentic applications as long-lived products, incorporating human in the loop patterns, continuous learning, monitoring, and governance as part of the standard operating model. Frameworks include OpenAI, AWS Bedrock, and LangChain.Develop and maintain scalable, stable, reliable, and secure applications using Python/Java and modern frontend frameworks like React JS. Leverage vibe coding best practices to build production-grade applications and prototypes faster.Implement microservices-based solutions on AWS cloud platform.Incorporate microservices, APIs, MCPs and event-driven processes.Implement CI/CD practices for software applications.Monitor model performance in production and manage model drift, retraining, and rollback strategies.Use critical thinking to investigate issues with systems and data, and identify solutions for short-term remediation and long-term strategy.Requirements:Must have a minimum of 2 years of related work experience in software development; Pharma/Life Sciences experience is a plus.Bachelor’s degree in Computer Science, Software Engineering, or related field.Strong proficiency in Python and/or Java, and a UI framework, preferably React JSSolid understanding of AI concepts and familiarity in developing AI applications.Practical experience building Generative AI and Agentic AI applications using tools like LangChain is a plus.Experience with AWS Cloud services such as Lambda, S3, DynamoDB, Bedrock, SageMaker, is a plus.Good data analytics skills - SQL/NoSQL databases, able to write efficient queries.Strong technical expertise combined with a demonstrated commitment and passion for continuous learning and staying abreast of emerging technologies.Excellent problem-solving and analytical skillsMust be a relationship builder and capable of working effectively in a highly matrix organization with strong communication, planning, and collaboration skills.Position Summary: We are seeking a strong Full Stack Developer to serve in an AI‑first, agile product team supporting Global Development Operations (GDO). This role is responsible for developing and operating AI-native products where large language models, agentic workflows, and data‑driven intelligence are the default approach to solving business problems—not an add‑on.The ideal candidate will bring deep hands-on programming experience delivering Generative and Agentic AI solutions in a regulated environment. Specific Responsibilities:Develop and maintain LLM-native...
Want jobs like this matched to you?
SimpleCareer scores fresh postings against your résumé so you only see the matches that matter.