Software Engineer, AI Engineering and Enablement

Summary

Bristol Myers Squibb is seeking a Software Engineer to join the AI Engineering and Enablement team at our New Jersey office. This role will focus on developing, testing, maintaining, and enhancing software applications and components that support business and technology needs, with an emphasis on AI-assisted development tools.

• Develop, test, maintain, and enhance software applications and components using modern programming languages such as Python, JavaScript, Java, Go, or similar languages.
• Write clean, secure, maintainable, and efficient code following established software development standards and best practices.
• Collaborate with engineers, product owners, and business users to understand requirements and translate them into technical solutions.
• Troubleshoot, debug, and resolve application issues, escalating risks or complex problems when needed.
• Participate in code reviews and contribute to improvements in code quality, testing, and development practices.
• Support integration of applications with APIs, databases, cloud services, and software tools.
• Use AI-assisted development tools or AI agents to support coding, testing, debugging, and documentation.
• Contribute to continuous improvement of development processes, agile engineering practices, and secure application development.

• Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience.
• Minimum of 2 years of professional software development experience.
• Minimum of 1 year of exposure to AI development, AI-enabled applications, automation, or AI‑assisted software engineering.
• Experience with at least one modern programming language, preferably Python.
• Understanding of software development fundamentals, including application design, APIs, testing, debugging, and version control.
• Familiarity with Git or similar version control systems.
• Basic understanding of cloud-based application development, preferably AWS.
• Strong problem‑solving, communication, and teamwork skills.

• Experience with AWS services such as S3, Lambda, Fargate, API Gateway, or Cloud Watch.
• Familiarity with CI/CD pipelines, automated testing, and deployment practices.
• Exposure to REST APIs, microservices, serverless applications, or application integrations.
• Familiarity with SQL or No
  
  SQL databases.
• Experience using AI‑assisted development tools or AI agents in day‑to‑day software development.
• Familiarity with Agile/Scrum development methodologies.

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