Senior Full-Stack AI Engineer: LLM & Agentic Apps

Aimlroles; Princeton (NJ); On-site; USD 78,000 - 95,000; Full time

Benefits offered by this job

Health Coverage

Wellbeing Support

Financial Well-being and Protection

Job summary

Bristol Myers Squibb in Princeton, NJ is seeking a strong Full Stack Developer to join an AI-first, agile product team supporting GDO. You will build and operate AI-native products, including LLM-native and agentic applications, with human-in-the-loop and governance as standard.

The role requires hands-on coding in Python/Java and frontend with React JS, developing scalable, secure SaaS and in‑house apps on AWS.

Qualifications

• Minimum 2 years of software development experience; pharma/life sciences is a plus.
• BS in Computer Science, Software Engineering, or related field required.
• Strong Python/Java and UI framework experience (React JS) required.
• Familiarity with Generative AI and Agentic AI tools (LangChain) is a plus.
• Experience with AWS services (Lambda, S3, DynamoDB, Bedrock, SageMaker) is a plus.
• Good data analytics skills with SQL/NoSQL databases.

Responsibilities

• Develop and maintain LLM-native and agentic applications as long‑lived products.
• Build scalable, secure applications using Python/Java and React JS.
• Support a portfolio of SaaS and in‑house apps with high availability.
• Partner with stakeholders on incident resolution and lifecycle activities.
• Implement microservices on AWS and CI/CD practices.
• Monitor model performance, drift, retraining, and rollback strategies.

Skills

Python

Java

React JS

LangChain

AWS Bedrock

SageMaker

SQL/NoSQL

AI concepts

Education

Bachelor’s degree in Computer Science or related field

Tools

AWS Lambda

S3

DynamoDB

Bedrock

SageMaker

LangChain

React JS

Job description

Bristol Myers Squibb in Princeton, NJ is seeking a strong Full Stack Developer to join an AI-first, agile product team supporting GDO. You will build and operate AI-native products, including LLM-native and agentic applications, with human-in-the-loop and governance as standard.

The role requires hands-on coding in Python/Java and frontend with React JS, developing scalable, secure SaaS and in‑house apps on AWS.