Responsibilities of the Intern:

Assist in identifying inefficiencies and friction points across support, implementation, and customer success workflows.
Contribute to maintaining a backlog of AI/automation ideas.
Support the development of small-scale prototypes (e.g., chatbots, workflow automations, dashboards) using low-code tools, Python, or notebooks.
Collaborate with team members to test ideas and validate use cases.
Help deploy and monitor pilot solutions with internal teams.
Collect feedback, track basic usage metrics, and support iteration efforts.
Stay updated on emerging AI tools and trends.
Assist in preparing demos, documentation, or internal knowledge-sharing sessions.
Help create simple documentation, prompt libraries, and reports to support scaling of successful pilots.
Work with global teams (Delivery, Support, Customer Success) to understand business needs and support AI initiatives.

Requirements:

BE 2026 Graduates: Currently pursuing or recently completed a degree in Engineering, Computer Science, Data Science, Business Analytics, or related field.
Basic understanding of AI/ML concepts or automation tools.
Familiarity with Python, APIs, JSON, or data handling (academic or project-based).
Strong problem-solving and communication skills.
Exposure to tools like LangChain, LlamaIndex, OpenAI APIs, or similar frameworks.
Coursework or projects related to AI, data analytics, or automation.
Understanding of SaaS or customer-facing operations (support, success, etc.).