Revvity Hiring Full-Stack AI Engineering Intern
Thane, Maharashtra | Full-Time Internship | Req ID: JR-045768
Revvity is offering a Full-Stack AI Engineering Intern opportunity in Thane, India, through its RiseUp Internship Program. The role focuses on enterprise AI applications, generative AI, large language models (LLMs), prompt engineering and full-stack development.
This opportunity may suit students and recent graduates who enjoy experimenting with AI tools, building software prototypes and exploring ways to improve business workflows with technology.
Job Overview
| Company | Revvity |
| Position | Full-Stack AI Engineering Intern |
| Location | Thane, India |
| Employment Type | Full-Time Internship |
| Requisition ID | JR-045768 |
| Program | RiseUp Internship Program |
| Experience | Not specified in the supplied description |
| Stipend | Not specified in the supplied description |
About Revvity
Revvity develops end-to-end solutions for scientists, researchers and clinicians working to address health challenges. The company describes this internship program as an opportunity for students and recent graduates to gain practical experience, collaborate across teams and contribute to meaningful projects.
Key Responsibilities
- Learn about enterprise systems, current AI initiatives and business operations during onboarding.
- Identify opportunities where AI can improve productivity and existing workflows.
- Develop prototypes and proof-of-concepts for AI-powered features.
- Contribute to prompt engineering strategies for business applications.
- Help build AI-driven tools that integrate with existing workflow systems.
- Assist with AI model integration across different platforms.
- Evaluate AI performance using business KPIs and user satisfaction measures.
- Present project findings to technical and non-technical stakeholders.
Required Skills and Qualifications
- Strong interest in enterprise AI applications.
- Familiarity with LLMs such as ChatGPT, Claude or similar tools.
- Familiarity with Python, Next.js, Docker and full-stack technologies.
- Basic understanding of prompt engineering.
- Proficiency in at least one programming language, preferably JavaScript.
- Strong problem-solving skills and attention to detail.
- Good written and verbal communication skills.
- Ability to adapt to changing priorities and work collaboratively.
Bonus: Understanding of business processes and enterprise software systems.
Who Should Apply?
This internship may be suitable for students and recent graduates interested in AI engineering, generative AI and full-stack development. Applicants should review the official listing for any additional eligibility criteria before applying.
- Candidates interested in building practical AI applications.
- Developers familiar with JavaScript or Python.
- Applicants exploring Next.js, APIs, Docker and LLM integration.
- Candidates who can communicate technical ideas and work in teams.
Mandatory Application Process
According to the supplied job description, candidates must complete both steps to be considered for further evaluation.
- Complete the mandatory questionnaire: Submit the required form using the link below.
- Apply through Workday: Submit your application on the official Revvity careers website.
Important: Completing only the questionnaire or only the Workday application is not sufficient according to the supplied instructions. Complete both steps.
Apply for the Revvity Internship
Step 1: Complete the mandatory questionnaire
Complete QuestionnaireStep 2: Apply on the official careers website
Apply on Revvity CareersVerify the requisition ID JR-045768 and current vacancy status before submitting.
AI Engineering Internship Preparation Guide
These are suggested preparation topics based on the listed responsibilities, not confirmed interview questions.
- Generative AI and LLMs: Learn tokens, context windows, model limitations and hallucinations.
- Prompt engineering: Practice writing clear instructions, providing examples and evaluating outputs.
- JavaScript and Python: Review functions, objects, asynchronous programming, error handling and API calls.
- Next.js: Understand components, routing, data fetching and frontend-backend integration.
- REST APIs: Practice HTTP methods, JSON requests, status codes and secure API integration.
- Docker: Understand images, containers, Dockerfiles and environment variables.
- AI project idea: Build a simple internal knowledge assistant that answers questions from approved documents and indicates when it cannot find an answer.
- Evaluation: Learn how to test AI responses for accuracy, usefulness, latency and consistency.
Project Idea to Strengthen Your Application
Consider building a small AI-powered knowledge assistant using Next.js and Python. Let users ask questions about a set of sample company documents, retrieve relevant passages, and provide a response with source references. Include basic input validation, error handling and a small evaluation set to test answer quality.
This project can help demonstrate full-stack development, API integration, prompt design and practical understanding of AI evaluation. Use only sample or authorized data, and never upload confidential company documents to public AI services.
Disclaimer
FreshJob.in shares employment information to help candidates discover opportunities. We are not the employer or an official recruitment agency for this vacancy. The details in this post are based on the supplied job description and links. Eligibility, vacancy status and application requirements may change; verify them on the official Revvity careers website before applying. Never pay an unverified person to secure a job.
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