Gnani.ai Full-Stack/AI Engineer Internships in Bangalore
Gnani.ai is hiring Full-Stack/AI Engineer Interns for an in-office role in Bangalore. The opportunity is centered on building AI-native products end to end at a voice-first conversational AI platform that works across products such as Automate365, Assist365, and Armour365. The internship includes 2 openings, a 6-month duration, and a stipend of Rs.30,000-75,000/month. It also offers a certificate, LOR, flexible hours, and a 5-day week. Applications are to be submitted by 12 September 2026 via Internshala.
About Gnani.ai and the internship focus
Gnani.ai is described as a voice-first conversational AI platform, and the internship is aligned with that identity. The role is not limited to one narrow task; instead, it is focused on helping build AI-native products end to end. That wording points to work across the full product process, which makes the internship relevant for candidates interested in both product development and AI-driven engineering. The company’s product names, Automate365, Assist365, and Armour365, show the platform’s product ecosystem, and the internship sits within that environment.
The position is specifically for Full-Stack/AI Engineer Interns, which combines software development with AI-oriented work. Because the role is framed around end-to-end product building, it naturally connects front-end and back-end development with AI implementation. The internship is also in-office in Bangalore, so the work arrangement is clearly defined. For candidates looking for a structured internship with a direct product-building focus, the description provides a concise but clear picture of what the role is about.
Standout fact: Gnani.ai is hiring 2 Full-Stack/AI Engineer Interns for an in-office role in Bangalore, with a 6-month duration and a stipend of Rs.30,000-75,000/month.
The internship also stands out because it combines a defined technical scope with a clear set of benefits. The presence of a certificate and LOR adds formal recognition to the experience, while flexible hours and a 5-day week describe the work structure. Since the role is tied to AI-native product development, the internship is positioned as a practical opportunity for candidates who want to work on modern product engineering tasks in a conversational AI setting.
Role expectations and work style
The core expectation in this internship is to build AI-native products end to end. That phrase is the most direct description of the work, and it suggests involvement in the full development cycle rather than isolated tasks. The title Full-Stack/AI Engineer Intern reinforces that the role spans both application development and AI-related engineering. In practical terms, the internship is designed for someone who can contribute across layers of a product while working within an AI-focused environment.
The role is also explicitly in-office, which means the internship is not remote. The location is Bangalore, and the structure includes flexible hours along with a 5-day week. These details together define the work setting without adding any extra assumptions. For searchers comparing internship formats, this makes the opportunity easy to identify as a Bangalore-based, office-based role with a balanced weekly schedule.
Because the internship is for 6 months, it is a medium-term commitment rather than a short assignment. The number of openings is limited to 2, which makes the opportunity more selective. The stipend range of Rs.30,000-75,000/month is also clearly stated, giving candidates a direct sense of the compensation range. Taken together, these details make the role easy to understand for anyone evaluating duration, location, and compensation before applying.
Key role details
- Role: Full-Stack/AI Engineer Intern
- Work mode: In-office
- Location: Bangalore
- Openings: 2
- Duration: 6 months
- Stipend: Rs.30,000-75,000/month
The internship is also notable for the way it combines technical depth with a structured schedule. The mention of flexible hours does not change the in-office nature of the role, but it does indicate some flexibility in how the workday is organized. The 5-day week further clarifies the routine. Together, these points help define the internship as a professional, organized opportunity within an AI product environment.
Skills and technical stack
The internship lists a broad set of skills that reflect both full-stack development and AI engineering. The required or relevant technologies include TypeScript, React, Next.js, Python, FastAPI, PostgreSQL, and MongoDB. This combination shows that the role spans front-end development, back-end development, and database work. It also indicates that the internship is intended for candidates who can work across multiple parts of an application stack.
In addition to core development tools, the role includes AI agent frameworks such as LangChain, LangGraph, and Pydantic AI. These frameworks are specifically named, which makes them an important part of the internship’s technical profile. Their inclusion shows that the role is not only about general software engineering, but also about working with AI-oriented frameworks that support agent-based development. For candidates with interest in AI product building, this is a strong signal about the kind of technical environment involved.
The internship also mentions AI coding assistants such as Claude and Cursor. Their presence in the skill list suggests that the role values modern development workflows alongside technical implementation. Since the internship is about building AI-native products end to end, these tools fit naturally into the work context. The overall stack points to a role where candidates may move between interface work, server-side logic, data handling, and AI-assisted development practices.
Technical areas named in the internship
- Frontend and application development: TypeScript, React, Next.js
- Backend development: Python, FastAPI
- Databases: PostgreSQL, MongoDB
- AI agent frameworks: LangChain, LangGraph, Pydantic AI
- AI coding assistants: Claude, Cursor
The skill list is useful because it gives a direct view of the technical expectations without requiring interpretation beyond the provided content. It shows that the internship is built around a modern engineering stack and AI-focused tooling. Candidates who are already familiar with these tools may find the role especially relevant, while others can use the list to understand the technical environment before applying. Since no additional eligibility details are provided, the skills section is the clearest guide to the role’s technical direction.
Stipend, duration, and benefits
The internship offers a stipend of Rs.30,000-75,000/month, which is stated as a range. This is one of the most concrete details in the listing and is important for candidates comparing opportunities. The duration is 6 months, which gives the internship a defined timeline. Together, stipend and duration provide a straightforward picture of the commitment and compensation attached to the role.
Beyond compensation, the internship includes several listed perks. These are a certificate, an LOR, flexible hours, and a 5-day week. Each of these benefits is explicitly mentioned and should be understood exactly as stated. The certificate and LOR provide formal recognition, while flexible hours and a 5-day week describe the work arrangement in a way that may be useful for planning and routine.
The benefits section is especially useful because it complements the technical and role-based details. A candidate reading the listing can see not only what the internship involves, but also what is offered alongside the work. Since the internship is in-office and based in Bangalore, the schedule-related perks help define the overall experience more clearly. The combination of a fixed duration, a stated stipend range, and listed perks makes the opportunity easy to summarize and compare.
Perks listed: certificate, LOR, flexible hours, and 5-day week.
The internship’s structure is therefore both practical and clearly defined. The stipend range and duration are easy to note, and the perks are directly stated without ambiguity. For search-friendly purposes, these are the key terms that candidates are likely to look for when evaluating the opportunity. The listing provides enough detail to understand the offer without adding anything beyond the original content.
How to apply and important deadline
The application process is simple in the information provided: candidates should apply via Internshala. The deadline is 12 September 2026, which is the only application date mentioned. Since no additional steps are listed, the application instruction should be taken exactly as written. This makes the deadline and platform the two most important application details in the listing.
For anyone planning to apply, the most important thing is to keep the deadline in mind and use the specified platform. The content does not mention any alternate application method, so Internshala is the only application route provided. Because the role has only 2 openings, the application timing may matter to interested candidates. The listing does not provide any other selection process details, so it is best to rely only on the stated submission method and date.
The application section is short, but it is still central to the opportunity. A candidate can identify the role, understand the technical stack, and note the benefits, but the final step is to submit the application through the named platform. The deadline of 12 September 2026 gives a clear endpoint for action. That makes this internship easy to track for anyone searching for a Bangalore-based AI engineering internship with a defined application date.
Frequently Asked Questions
What is Gnani.ai hiring for?
Gnani.ai is hiring Full-Stack/AI Engineer Interns. The role is focused on building AI-native products end to end. The company is described as a voice-first conversational AI platform, and the internship is connected to its products Automate365, Assist365, and Armour365.
Where is the internship located?
The internship is in-office in Bangalore. That is the only location mentioned in the content. No remote option or additional location details are provided, so the role should be understood as a Bangalore-based office internship.
How many openings are available?
There are 2 openings for the internship. This number is explicitly stated in the listing. No other vacancy count or batch size is mentioned, so the opportunity should be treated as limited to those two positions.
What is the stipend and duration?
The stipend is Rs.30,000-75,000/month, and the internship duration is 6 months. Both details are clearly listed. These are the only compensation and duration details provided, so they define the internship’s basic commitment and pay range.
What skills are mentioned for the role?
The listed skills include TypeScript, React, Next.js, Python, FastAPI, PostgreSQL, MongoDB, LangChain, LangGraph, Pydantic AI, Claude, and Cursor. These tools and frameworks define the technical environment mentioned in the internship content.
How can candidates apply?
Candidates should apply via Internshala. The application deadline is 12 September 2026. No other application method is mentioned, so the provided platform and date are the only application instructions available.
Conclusion
Gnani.ai’s internship for Full-Stack/AI Engineer Interns brings together AI product work, full-stack development, and a clearly defined in-office setup in Bangalore. With 2 openings, a 6-month duration, and a stipend of Rs.30,000-75,000/month, the role is straightforward to understand from the listing. The technical stack includes modern development tools, AI agent frameworks, and AI coding assistants, while the perks include a certificate, LOR, flexible hours, and a 5-day week. Interested candidates should apply via Internshala by 12 September 2026.
