AI Knowledge Graph & Cloud Engineering - Internship (WFH)

About the internship:Selected intern's day-to-day responsibilities include:

1. Build and improve knowledge graphs that power our AI decision-intelligence product, CHOICE: Model business concepts, relationships, and questions as structured graph data

2. Work with Python services that connect our AI models, knowledge graphs, and APIs, and help test and debug them end to end

3. Package our services into Docker containers and help deploy them on our own server and on the cloud

4. Help prepare the product to serve multiple users at once (5-10 to start): Queueing, monitoring, logging, and performance testing

5. Set up and maintain basic DevOps workflows: Linux server setup, Git, automated start-up of services, backups, and simple CI/CD

6. Run experiments and evaluations on our AI models and knowledge graphs, and document what works and what doesn't

7. Learn new tools and techniques quickly, with guidance from the team and AI coding assistants we provideWho can apply:Only those candidates can apply who:are available for the work from home job/internshipcan start the work from home job/internship between 10th Oct'26 and 14th Nov'26are available for duration of 6 monthshave relevant skills and interestsare Computer Science Engineering studentsStipend:INR₹ 12,000 - 15,000 /monthDeadline:[hidden]:59:59Other perks:Certificate, Flexible work hours, 5 days a weekSkills required:Cloud Computing, Python, Linux, Git, Machine Learning, Docker, Natural Language Processing (NLP) and Python LibrariesOther Requirements:1. Students or recent graduates in computer science, IT, data science, AI/ML, or related fields preferred; candidates from other backgrounds with strong projects are welcome2. Problem-solving skills and a strong ability to learn new things quickly matter more than knowing every tool3. A working idea of knowledge graphs, Docker, cloud, or DevOps is enough to start4. Projects on GitHub (AI, graphs, web services, or deployment) are a strong plusAbout Company:Knowledge Systems. Aletheia Works also builds AI knowledge systems: products that turn our research and advisory expertise into software that leaders can use whenever a decision has to be made. Our first knowledge system, CHOICE, is a decision-intelligence product for business leaders. A user describes a real business problem in their own words; CHOICE clarifies what success looks like, separates what is known, what could be found out and what nobody can know yet, and then asks a short, targeted line of questions across every area of the business, from marketing and sales to operations, finance, legal and people. It returns a recommendation with an honest measure of confidence, tailored to the user's role, and remembers the problem so each return visit builds on the last. CHOICE is the first of several knowledge systems we are building, each designed to make expert judgement rigorous, honest about uncertainty and available on demand.

Responsibilities

Selected intern's day-to-day responsibilities include:

1. Build and improve knowledge graphs that power our AI decision-intelligence product, CHOICE: Model business concepts, relationships, and questions as structured graph data

2. Work with Python services that connect our AI models, knowledge graphs, and APIs, and help test and debug them end to end

3. Package our services into Docker containers and help deploy them on our own server and on the cloud

4. Help prepare the product to serve multiple users at once (5-10 to start): Queueing, monitoring, logging, and performance testing

5. Set up and maintain basic DevOps workflows: Linux server setup, Git, automated start-up of services, backups, and simple CI/CD

6. Run experiments and evaluations on our AI models and knowledge graphs, and document what works and what doesn't

7. Learn new tools and techniques quickly, with guidance from the team and AI coding assistants we provide