Senior Full-Stack AI Engineer for Regulated Health Ops

Biopharma Careers

United States

On-site

USD 78,000 - 95,000

Full time

14 days+
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Benefits offered by this job

Health Coverage
401(k) plan
Paid Time Off

Job summary

Bristol Myers Squibb seeks a strong Full Stack Developer to join an AI-first, agile product team supporting Global Development Operations. You will develop AI-native products leveraging large language models and agentic workflows in a regulated environment.

The role emphasizes hands-on coding across backend (Python/Java) and frontend (ReactJS), with responsibilities spanning deployment, monitoring, and governance of AI-driven applications in production.

Qualifications

  • Requires minimum 2 years of software development experience.
  • Bachelor's degree in Computer Science, Software Engineering, or related field.
  • Proficient in Python and/or Java, with UI framework experience (React).
  • Solid understanding of AI concepts and experience with Generative AI/Agentic AI.
  • Experience with AWS services (Lambda, S3, DynamoDB, Bedrock, SageMaker) is a plus.

Responsibilities

  • Develop and maintain LLM-native and agentic applications as long-lived products.
  • Build scalable, secure applications using Python/Java and ReactJS.
  • Maintain SaaS and in-house apps with high availability and performance.
  • Collaborate with stakeholders across enterprise platforms.
  • Implement microservices on AWS and event-driven architectures.
  • Apply CI/CD practices for software delivery.

Skills

Python
Java
ReactJS
AI concepts
LangChain
AWS

Education

Bachelor's degree in CS/SE

Tools

AWS
LangChain

Job description

Bristol Myers Squibb seeks a strong Full Stack Developer to join an AI-first, agile product team supporting Global Development Operations. You will develop AI-native products leveraging large language models and agentic workflows in a regulated environment.

The role emphasizes hands-on coding across backend (Python/Java) and frontend (ReactJS), with responsibilities spanning deployment, monitoring, and governance of AI-driven applications in production.

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