AI Engineer Internship at Growify Digital in Delhi
Growify Digital is hiring an AI Engineer Intern for a full-time, in-office internship at its Chhatarpur, Delhi office. This role is designed for hands-on work on production-focused AI and LLM-powered features used by real users, rather than demos or notebooks. The internship runs for 3 months and offers a monthly stipend of Rs. 30,000 – 40,000. There are 2 openings, the start date is immediately, and applications are open on Internshala until 2 September 2026.
This opportunity is aimed at candidates who can work from the office 5 days a week, build functional software independently, and contribute to AI features that matter in daily business use. The role also emphasizes practical problem-solving, deployment, and reliability. For applicants looking for an internship that goes beyond experimentation and into real product work, this opening is clearly structured around execution, ownership, and measurable impact.
Role Overview and Internship Details
The AI Engineer Intern position at Growify Digital is a full-time, in-office internship based in Chhatarpur, Delhi. The company describes the work as hands-on and production-focused, with a strong emphasis on building AI/LLM-powered features for real users. This means the intern is expected to work on software that is deployed and used, not just prototypes or isolated experiments. The internship is set for 3 months, and the stipend is listed as Rs. 30,000 – 40,000 per month.
Several practical details make the opportunity easy to understand at a glance. The internship has 2 openings, can start immediately, and accepts candidates who can begin between 3 August 2026 and 7 September 2026. Applications are open through Internshala until 2 September 2026. Since the role is fully in-office, applicants should be ready for a 5-day-a-week work routine at the Delhi office.
Standout fact: This internship is not framed as a learning-only assignment; it is a production-focused role where the intern is expected to build and deploy AI-powered features for real users.
Key details at a glance
| Detail | Information |
|---|---|
| Role | AI Engineer Intern |
| Company | Growify Digital |
| Location | Chhatarpur, Delhi |
| Internship type | Full-time, in-office |
| Work schedule | 5 days a week |
| Start date | Immediately |
| Duration | 3 months |
| Stipend | Rs. 30,000 – 40,000 per month |
| Openings | 2 |
| Apply by | 2 September 2026 |
| Apply via | Internshala |
The internship is especially relevant for candidates who want direct exposure to how AI features are built, integrated, evaluated, and deployed in a business setting. Because the company expects the intern to own work end-to-end, the role is broader than a narrow research or model-only assignment. It combines backend, frontend, deployment, and AI integration responsibilities in one practical internship.
What the Day-to-Day Work Looks Like
The daily responsibilities for this internship are centered on building AI-powered features that are actually used by the product and internal teams. The company specifically says the focus is on production-ready software, not demos or notebooks. That distinction matters because it shows the intern will be expected to work on software that can be deployed, maintained, and used in real workflows. The role is therefore practical, implementation-heavy, and tied to business use.
One of the most important expectations is end-to-end ownership. The intern may need to handle APIs, model integrations, retrieval or vision layers, frontend development, and deployment. This means the work is not limited to one part of the stack. Instead, the role asks for someone who can connect multiple layers of an application and help turn an idea into a working product.
Core responsibilities
- Build AI-powered features used by product and internal teams.
- Own features end-to-end, including APIs, model integrations, retrieval or vision layers, frontend development, and deployment.
- Build internal tools that convert complex, unstructured business workflows into LLM-powered applications used daily by teams.
- Develop evaluation frameworks to monitor performance, identify failures, and improve reliability.
- Monitor and optimize application cost, latency, and performance.
- Build and deploy at least two AI-powered features or products for real users during the internship.
The internal tools aspect is especially notable because it shows the company wants AI to solve real operational problems. The intern is expected to help turn messy business workflows into usable applications powered by LLMs. At the same time, the role includes evaluation and optimization, which means the work does not stop at deployment. Performance, reliability, cost, and latency all matter, and the intern is expected to think about those concerns while building.
Another important expectation is the delivery of at least two AI-powered features/products for real users during the internship. That makes the role outcome-driven and concrete. It also suggests the internship is structured around shipping meaningful work within a short period, which is useful for candidates who want to build a strong portfolio through real deployment experience.
Skills Required and What Growify Digital Wants
The listed skills for this internship include Artificial Intelligence, Python, JavaScript, React, Node.js, REST API, SQL, Prompt Engineering, and GitHub. These skills reflect the practical nature of the role, where the intern may need to work across AI integration, application logic, user interfaces, and deployment workflows. The combination of backend, frontend, and AI-related tools suggests the company is looking for someone comfortable with building complete applications.
Growify Digital also outlines what it values beyond the skill list. It wants production-quality Python and modern JavaScript frontends, such as React or something similar. The company expects the intern to independently develop and deploy a functional application for users. Experience building an app using an LLM API that has been used by real users is also important, and relevant college projects can count. This makes practical experience more important than theoretical background.
What they are specifically looking for
- Production-quality Python.
- Modern JavaScript frontends, such as React or similar.
- Ability to independently develop and deploy a functional application for users.
- Experience building an app using an LLM API used by real users.
- Strong understanding of retrieval systems and when a RAG pipeline is or is not the right solution.
- Ability to understand ambiguous business problems and propose practical technical solutions.
- Openness to feedback and iteration.
One of the most specific expectations is a strong understanding of retrieval systems and when a RAG pipeline is or is not the right solution. That indicates the company wants thoughtful engineering judgment, not just familiarity with AI buzzwords. The role also values the ability to work through ambiguous business problems and translate them into practical technical solutions. In other words, the ideal candidate should be able to think clearly, build responsibly, and improve based on feedback.
Importantly, the company states that no specific college pedigree, model-training experience, or perfect CGPA is required. Skills and practical ability matter most. That makes the internship accessible to candidates who have built real projects and can demonstrate useful work, even if they do not come from a particular academic background. The emphasis is on what the applicant can actually build and deploy.
Eligibility, Work Requirements, and Perks
To be eligible for this internship, candidates must have a functional laptop because hardware is not provided. They must also be available to join immediately and work full-time from the Chhatarpur office for the full 3 months. Another important requirement is that applicants should already have at least one project that is deployed and publicly accessible via a live link. Projects that are only on localhost or only on GitHub will not be considered.
These eligibility conditions make the role clearly practical and execution-oriented. The company is looking for candidates who can contribute from day one and show evidence of real deployment experience. Since the internship is in-office and full-time, it is not suited to remote or part-time arrangements. The live-link requirement also reinforces the focus on working software rather than unfinished code.
Eligibility checklist
- Own a functional laptop.
- Be available to join immediately.
- Work full-time from the Chhatarpur office for the full 3 months.
- Have at least one deployed project with a publicly accessible live link.
- Note that localhost-only or GitHub-only projects will not be considered.
The internship also includes a set of perks that may be appealing to applicants. These are a certificate, informal dress code, and free snacks & beverages. While the role is primarily defined by the work itself, these benefits add to the overall internship experience. They also reflect a workplace environment that is informal in dress but serious in expectations around delivery and ownership.
Growify Digital’s broader company profile helps explain the context of the internship. Founded in 2019 and headquartered in Chhatarpur, Delhi, the company is a 100+ member e-commerce growth agency. It works with 150+ celebrated Indian fashion brands and provides Shopify development, performance marketing, social media, product photography, and customer support. This background suggests the AI Engineer Intern will be contributing within a business that already operates across multiple e-commerce functions.
How to Apply for the AI Engineer Internship
Applications for the AI Engineer Internship at Growify Digital must be submitted online through Internshala. The application deadline is 2 September 2026, so interested candidates should apply before that date. Since the internship can start immediately, applicants who are ready to begin within the stated window may be especially relevant. The process is straightforward, but the eligibility criteria should be checked carefully before applying.
The application link is provided directly, and candidates should use the official Internshala listing. Because only 2 openings are available, the role is limited in number. Applicants should make sure they can meet the in-office requirement, have a functional laptop, and can share a deployed project with a live link. These points are central to the role and should be reflected clearly in the application.
Apply by: 2 September 2026 through Internshala.
Apply Link: AI Engineer Internship at Growify Digital
Frequently Asked Questions
What is the role offered by Growify Digital?
The company is hiring for an AI Engineer Intern role. It is a full-time, in-office internship based in Chhatarpur, Delhi. The work is described as hands-on and production-focused, with an emphasis on building AI/LLM-powered features for real users rather than demos or notebooks.
What is the stipend and duration of the internship?
The internship lasts for 3 months. The monthly stipend is listed as Rs. 30,000 – 40,000. This makes the role a short-term, paid internship with a clear timeline and defined compensation range.
What are the main responsibilities in this internship?
The responsibilities include building AI-powered features, owning features end-to-end, creating internal tools for business workflows, developing evaluation frameworks, and monitoring cost, latency, and performance. The intern is also expected to build and deploy at least two AI-powered features or products for real users during the internship.
What skills are required for the AI Engineer Intern role?
The listed skills are Artificial Intelligence, Python, JavaScript, React, Node.js, REST API, SQL, Prompt Engineering, and GitHub. Growify Digital also wants production-quality Python, modern JavaScript frontends, and experience building an app using an LLM API used by real users.
What eligibility conditions must applicants meet?
Applicants must have a functional laptop, be available to join immediately, and work full-time from the Chhatarpur office for the full 3 months. They must also have at least one project that is deployed and publicly accessible through a live link. Projects that are only on localhost or GitHub will not be considered.
How can candidates apply for this internship?
Candidates must apply online through Internshala before 2 September 2026. The official application link is provided in the listing. Since there are only 2 openings, applicants should review the requirements carefully before submitting their application.
Conclusion
The AI Engineer Internship at Growify Digital is a focused opportunity for candidates who want to build real AI products in a business environment. With a full-time, in-office setup in Chhatarpur, Delhi, the role emphasizes production-ready software, end-to-end ownership, and practical deployment. The internship is short, paid, and clearly defined, with a stipend of Rs. 30,000 – 40,000 per month and a duration of 3 months. For applicants who already have a deployed project and want to work on AI features used by real teams, this opening offers a direct path into hands-on product development.
The company’s expectations are specific, but they are also practical: build, deploy, evaluate, and improve. If you can work full-time from the office, start immediately, and demonstrate real project experience through a live link, this internship may be a strong fit. Applications are open on Internshala until 2 September 2026.
