About the role
Intern – AI Product Operations & Solutions (Delivery Team)
Location: Bengaluru (Domlur)
Mode: Work from Office
Duration: 90 days
Full-Time Opportunity: Interns who exhibit exceptional performance during the internship may be considered for full-time roles at Blue Machines, contingent on business needs.
About Blue Machines
At Blue Machines, we are pioneering one of the fastest enterprise Voice AI platforms, deploying intelligent AI systems for leading companies across sectors such as airlines, banking, mutual funds, and retail. Our solutions operate at production scale, managing millions of genuine conversations across customer support, sales, collections, and operational processes.
We are engaged in real deployments, addressing real workflows, and driving tangible business results.
Role Overview
As an Intern within the Delivery Team, your focus will be on live enterprise AI deployments, with a strong emphasis on testing, evaluating, and enhancing AI voice agents. This position intersects:
AI Systems × Prompt Design × Evaluation × Workflow Mapping × Analytics
You will collaborate closely with the delivery and solutions team to comprehend client workflows, test conversational agents across various scenarios, analyze agent performance, and contribute to ongoing enhancements before and after deployment.
Key Responsibilities
1. Agent Testing & Analysis
- Conduct tests on AI voice agents across scenarios, edge cases, and workflow variations
- Identify issues in conversation flows, including logical errors, missed intents, compliance gaps, and hallucinations
- Analyze call transcripts and logs to derive performance insights
- Support evaluation frameworks across metrics such as accuracy, containment, latency, and adherence to expected flows
2. Prompt Iteration
- Assist in designing and refining prompts for conversational agents
- Execute iterative experiments to enhance response quality, task completion rates, and user experience
- Document findings and provide recommendations based on testing outcomes
3. Workflow Understanding
- Map customer journeys and conversation workflows for diverse use cases
- Understand AI agent interactions with backend systems like CRM, APIs, and telephony platforms
- Support workflow configuration and logic validation during deployment cycles
4. Monitoring & Metrics
- Track key metrics including containment rate, drop-offs, response accuracy, and failure patterns
- Review agent performance dashboards and highlight areas needing optimization
- Assist in transforming raw observations into actionable recommendations
5. Deployment Support
- Assist with QA, testing, and documentation throughout deployment cycles
- Help with change logs, issue tracking, and post-deployment optimization
- Collaborate with internal teams to ensure agents meet product specifications and performance standards.

