Teams at Revvity

Assist with deploying and maintaining AI applications on AWS through CI/CD pipelines, containerization, infrastructure as code, and automated testing. Support monitoring and troubleshooting using AWS CloudWatch and CloudTrail, collaborate with AI developers, and contribute to LLM application deployment workflows using Docker, ECS/EKS, CloudFormation, or Terraform. The role also involves learning cloud, DevOps, and machine learning technologies.

Develop prototypes and proof-of-concepts for enterprise AI applications, including prompt engineering, AI model integration, workflow tools, and performance benchmarking. Collaborate with business teams to identify AI opportunities, evaluate solutions against business metrics, and present findings to technical and non-technical stakeholders.

UX Intern supporting product teams through UX design and research. Responsibilities include creating prototypes, screenshots, and wireframes; incorporating feedback; conducting workshops, interviews, surveys, usability testing, and competitor analysis; presenting work to stakeholders; and contributing to internal design guidelines and UX culture.