Revvity Internship 2026 – AI Internship in Thane
Revvity
Key Responsibilities
- Complete onboarding and become familiar with enterprise systems.
- Understand ongoing AI initiatives.
- Provide feedback on the onboarding experience.
- Build relationships across different departments.
- Understand departmental challenges and potential AI opportunities.
- Develop a basic understanding of business operations and how AI can improve productivity.
- Develop prototypes and proof-of-concepts for AI-powered features.
- Explore AI solutions that can improve employee productivity and creativity.
- Contribute to prompt engineering strategies for business applications.
- Help create AI-driven tools that integrate with existing workflow systems.
- Collaborate on AI model integration projects.
- Help ensure good user experiences across different platforms.
- Evaluate and benchmark AI performance against business KPIs.
- Consider user satisfaction metrics when evaluating AI solutions.
- Present work and findings to technical and non-technical stakeholders.
- Responsibilities include developing AI prototypes and proof-of-concepts, contributing to prompt engineering, integrating AI models with workflow systems, evaluating AI performance, and presenting findings to stakeholders.
Skills & Eligibility
- The provided job description does not specify a particular graduation year, degree requirement, CGPA cutoff, or percentage criterion. Instead, the role places strong emphasis on technical capabilities, interest in enterprise AI, adaptability, and communication.
- Candidates should have a genuine interest in how generative AI and LLMs can be used to solve business problems. Familiarity with popular AI tools such as ChatGPT and Claude is specifically mentioned.
- The technical requirements also include familiarity with Python, Next.js, Docker, full-stack technologies, prompt engineering, and at least one programming language, preferably JavaScript.
- Candidates should understand the fundamentals of generative AI and large language models. Familiarity with tools such as ChatGPT and Claude is explicitly mentioned in the requirements.
- Applicants should understand common LLM concepts such as prompts, context, tokens, model limitations, hallucinations, output evaluation, and the use of LLMs in business applications.
- Prompt engineering is an important part of the internship. Candidates should understand how structured prompts, instructions, examples, constraints, and context can influence model outputs.
- Python is one of the technologies listed by Revvity. Candidates should be comfortable writing Python programs and using it to build AI or automation-related prototypes.
- The position requires proficiency in at least one programming language, with JavaScript preferred. Familiarity with Next.js and full-stack technologies is also specifically mentioned, making web application development knowledge valuable.
- Docker familiarity is listed as a requirement. Candidates should understand the basics of containers, images, Dockerfiles, and running applications in isolated environments.
- The role involves creating AI-driven tools that may be integrated into workflow systems. Understanding frontend, backend, APIs, databases, and application integration can therefore be useful when developing AI prototypes.
- Interns may help evaluate and benchmark AI performance against business KPIs and user satisfaction metrics. Candidates should understand that AI systems need to be evaluated not only for technical output quality but also for usefulness in a real business context.
- Candidates should be comfortable breaking ambiguous business problems into smaller technical problems and developing practical solutions.
- The role involves presenting findings to both technical and non-technical stakeholders. Clear written and verbal communication is therefore important.
- Revvity emphasizes working in a fast-paced and rapidly changing environment. Candidates should be able to adjust when project requirements or priorities change.
- Interns are expected to collaborate with people across different departments and prioritize collective outcomes.
- Meticulous attention to detail is specifically mentioned in the job requirements, particularly when developing and evaluating AI solutions.
- Because JavaScript is preferred, revise modern JavaScript concepts and understand asynchronous programming, APIs, modules, error handling, and application development.
- No CGPA cutoff is stated in the supplied job description.
Note: This job is posted on external sites. Joblit shares the listing for convenience and does not take responsibility for third-party content.
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