You will learn and practice the following activities:

• Develop & Productionalize AI agents.
• Architect scalable pipelines for multi-modal RAG systems.
• Evaluate RAG systems.
• Enhance Text Generation Quality from Unstructured Data through Advanced NLP Techniques.

Interns are expected to be fluent in the following skillsets prior to the interview:

• Python.
• Django.
• Docker
• LangChain.
• LangGraph. 
• Vector Store concepts.

The learning materials are provided upon applying to the position.

You will learn and practice the following activities:

• Create and deploy containers for various software parts of the system.
• Automate the deployment of the system infrastructure using Terraform. 
• Create a robust CI/CD pipeline to streamline and automate the build and deployment of a high-scale application.
• Enhance system reliability and scalability through automated testing, monitoring, and continuous integration best practices.

Interns are expected to be fluent in the following skillsets prior to the interview:

• Python.
• Docker.
• GKE.
• Terraform.

The learning materials are provided upon applying to the position.

You will learn and practice the following activities:

• Build product roadmaps that shape product direction, set priorities, and keep development efforts aligned with big-picture goals.
• Design smart AI agents that can understand tasks, make decisions, and interact in useful ways, using machine learning and NLP tools.
• Turn ideas into quick, hands-on prototypes to test what works, get feedback early, and improve designs fast.

You will learn and practice the following activities:

• Review and validate work items to ensure stories are ready for smooth production deployment
• Run comprehensive regression tests to confirm system stability after updates
• Create and update detailed test case documentation for complex, multi-step workflows
• Build and maintain automated test scripts using BeautifulSoup and Selenium to speed up testing and quickly identify bugs.

Interns are expected to be fluent in the following skillsets prior to the interview:

• Python.
• Problem-solving.
• Careful eye to details.
• Selenium.

The learning materials are provided upon applying to the position.

You will learn and practice the following activities:

• Conduct vulnerability scanning and security Analysis.
• Monitor logs and investigating security events.
• Implement DevSecOps measures in GKE and Terraform.

Interns are expected to be fluent in the following skillsets prior to the interview:

• Python.
• Docker
• GKE
• Terraform
• DevSecOps.
• SonarQube.

The learning materials are provided upon applying to the position.

You will learn and practice the following activities:

• Develop scalable web applications that can handle heavy traffic as needed.
• Build and integrate microservices via REST APIs.
• Build the frontend and backend to connect external systems to our systems.
• Implement workflows based on UI/UX wireframes to improve how users interact with the app.

Interns are expected to be fluent in the following skillsets prior to the interview:

• Python.
• Django.
• HTML.
• React.js
• Postgres.
• Docker.
• Celery.
• Agile.

The learning materials are provided upon applying to the position.

You will learn and practice the following activities:

• Analyze the user journey and overall workflow of a large-scale website to identify areas for improvement
• Redesign and optimize the site’s workflow to enhance functionality and user efficiency
• Create detailed UI wireframes to guide layout decisions and support a user-centered design approach.

Interns are expected to be fluent in the following skillsets prior to the interview:

• Python.
• HTML and CSS.
• Figma
• UI/UX concepts. 

The learning materials are provided upon applying to the position.