Key Responsibilities
Process Discovery & Opportunity Mapping
Assist in identifying inefficiencies and friction points across support, implementation, and customer success workflows.
Contribute to maintaining a backlog of AI/automation ideas.
Rapid Prototyping & Experimentation
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.
Pilot Support & Iteration
Help deploy and monitor pilot solutions with internal teams.
Collect feedback, track basic usage metrics, and support iteration efforts.
Learning & Knowledge Sharing
Stay updated on emerging AI tools and trends.
Assist in preparing demos, documentation, or internal knowledge-sharing sessions.
Documentation & Knowledge Transfer




Help create easy documentation, prompt libraries, and reports to support scaling of successful pilots.
Cross-Functional Collaboration
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.

📌 Require an AI Engineer (Bengaluru)
🏢 TestHiring
📍 Bengaluru