AI Knowledge Graph & Cloud Engineering – Internship (WFH)
Alethia Works Private Limited is inviting applications for a paid, work-from-home internship in AI Knowledge Graph and Cloud Engineering. The six-month opportunity offers an advertised monthly stipend of ₹12,000–15,000 and combines Python development, knowledge graphs, deployment and basic DevOps. There is one opening, with applications due by 12 November 2026. The live employer listing was checked on 13 October and shows a fresh posting from the same date.
This role is worth considering if you want to see how an AI product is connected, tested and operated beyond an isolated notebook. The employer's product, CHOICE, is a decision-intelligence system for business leaders. Intern responsibilities include representing concepts and relationships as graph data, connecting AI models with services, and helping those services work reliably for multiple users. It is not advertised as a course or a guaranteed full-time job.
Key details
| Organisation | Alethia Works Private Limited |
|---|---|
| Work arrangement | Work from home |
| Duration | 6 months |
| Stipend | ₹12,000–15,000 per month |
| Start window | 10 October to 14 November 2026 |
| Apply by | 12 November 2026 |
| Openings | 1 |
| Listed perks | Certificate, flexible work hours and five working days per week |
What you would work on
The first responsibility is to build and improve knowledge graphs for CHOICE. The employer describes this as modelling business concepts, relationships and questions as structured graph data. That work connects to Python services which link AI models, knowledge graphs and APIs. Testing and debugging these connections end to end is part of the advertised scope, so applicants should expect attention to how components work together, not only how one model produces an answer.
Deployment is another substantial part of the internship. The listing includes packaging services in Docker, helping deploy them on the employer's own server and on the cloud, and preparing the product for multiple simultaneous users. Its initial example is five to ten users, with queueing, monitoring, logging and performance testing mentioned explicitly. This is useful context for candidates interested in product engineering alongside AI.
- Model concepts and relationships as knowledge-graph data.
- Develop, connect, test and debug Python services and APIs.
- Package services into Docker containers and support deployment.
- Help with logging, queueing, monitoring and performance tests.
- Support Linux setup, Git workflows, automated startup, backups and simple CI/CD.
- Evaluate AI models and knowledge graphs, and document the results.
Who can apply
Applicants must be available for the work-from-home internship, able to start within the published 10 October–14 November window, and available for the full six months. Relevant skills and interests are required. The employer prefers students or recent graduates in computer science, IT, data science, AI/ML or related fields, but explicitly welcomes candidates from other backgrounds who have strong projects. A preference should not be rewritten as an absolute degree restriction.
The employer says problem-solving and the ability to learn quickly matter more than already knowing every tool. A working idea of knowledge graphs, Docker, cloud or DevOps is enough to start, while GitHub projects involving AI, graphs, web services or deployment are a strong plus. This does not mean technical preparation is unnecessary: applicants should still demonstrate the foundations they actually have and explain the parts they would need to learn.
Skills and evidence for your application
The listed skill areas are cloud computing, Docker, Git, Linux, machine learning, natural language processing, Python and Python libraries. You do not need to invent a project containing all eight to make an application look relevant. A clear example of a Python service, a graph-based experiment or a deployed small application may help explain your starting point more effectively than a list of tools you cannot discuss.
As preparation, consider describing one project from input to output: what problem it addressed, what data or service it used, how you tested it and what failed along the way. If you have worked with containers or a Linux environment, identify your own contribution. These are Jobsii's application suggestions based on the advertised work, not extra screening rules or a promised selection process.
Pay, schedule and the six-month commitment
The source advertises ₹12,000–15,000 per month. It does not provide a separate fixed-plus-incentive breakdown, so this article does not add one. The employer lists flexible work hours and five working days a week. Flexible hours should not be interpreted as unrestricted availability or a confirmed part-time arrangement: the exact daily expectations should be discussed with the employer.
Although the company profile mentions Mumbai, this internship is explicitly listed as work from home. The company city and the internship work mode are different facts. Before applying, compare the six-month commitment and start window with your classes, examinations or other work. Also confirm the working hours and any equipment or connectivity expectations directly during the recruitment process, since those details are not fully specified in the checked listing.
How to apply
- Open the exact Internshala listing linked below and confirm Alethia Works and the AI Knowledge Graph & Cloud Engineering role.
- Read the current responsibilities, eligibility and dates in full.
- Use Apply now and complete Internshala's required login/profile/application steps.
- Provide accurate availability and relevant project links or descriptions.
- Keep any application confirmation and follow updates through the application platform.
Jobsii is sharing the employer's opportunity, not recruiting or making an offer on its behalf. One advertised opening does not guarantee that applications remain open until the final day. The live source is the place to check later changes, selection communication and final terms.
Read the complete Alethia Works internship listing and apply.
