Posted today
Pay
Stipend (undisclosed)
Location
Bangalore, India
On site
Type
Internship
Apply by
13 Nov
9 days left
Skills this role screens for
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Not quite right?Paid AI and machine learning internships open nowResponsibilities
Requirements
GoKwik is hiring for the role of AI Solutions Intern! Responsibilities of the Intern: • Support the day-to-day operations of live Voice AI agents across multiple brands. • Assist in launching and scaling Voice AI use cases for consumer and D2C brands. • Configure and customise AI agents based on merchant requirements and business objectives. • Monitor agent performance and support ongoing improvements to ensure reliable execution. • AI Solutioning & Optimisation • Translate merchant requirements into agent customisations, conversation flow changes, prompts, and configuration updates. • Experiment with LLMs and prompt engineering techniques to improve agent responses and performance. • Identify gaps in agent behaviour and recommend solutions to improve conversation quality and business outcomes. • Support testing, validation, and iteration of agent workflows before and after deployment. • Cross-Functional Collaboration • Work closely with Product and Engineering teams to resolve implementation challenges and production issues. • Coordinate with merchant-facing teams to understand requirements, communicate updates, and ensure smooth deployments. • Troubleshoot issues end to end and follow through on resolution. • Document recurring issues, solutions, and learnings to improve implementation efficiency. • Process Improvement & Documentation • Build documentation, templates, and repeatable processes to streamline onboarding and deployment of new brands. • Identify operational bottlenecks and recommend improvements to existing workflows. • Track implementation progress, agent performance, and pending issues. • Help establish scalable processes for managing and optimising multiple Voice AI deployments. Requirements: • Have a technical background or prior experience working in a technology-focused environment. • Are curious about AI, LLMs, and their practical applications in solving business problems. • Have some exposure to prompt engineering and experimentation with LLM-based tools. • Possess strong problem-solving skills and the ability to troubleshoot issues systematically. • Have good communication skills and can coordinate effectively across Product, Engineering, and Business teams. • Are detail-oriented, organised, and comfortable managing multiple tasks in a fast-paced environment. • Take ownership of tasks and follow through on execution until resolution. • Are eager to learn, experiment, and work on emerging AI technologies.
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