Evaluation & Insights Intern, AI Delivery

Evaluation & Insights Intern, AI Delivery : Blue Machines

• Bengaluru (WFO)
• 3-6 Months
• B2B/Enterprise AI/SaaS

Voice AI is past the interesting demo stage. Enterprises arent asking whether AI can handle their customer interactions anymore — theyre asking why some conversations succeed while others fail.

Understanding that difference is one of the most important challenges in enterprise Voice AI today.

Blue Machines runs production systems handling millions of conversations for Indias largest airlines, banks, mutual funds, and retail chains. Not prototypes. Live. At scale.

We are looking for QA Interns who are naturally curious about understanding what happens inside those conversations, identifying why issues occur, and helping teams continuously improve the customer experience.

The Role

This is a hands-on, analytical role at the intersection of Quality Assurance, Operations, Customer Experience, and Conversational AI.

You will work closely with Delivery, Product, and Engineering teams to review customer interactions, identify issues, perform Root Cause Analysis (RCA), and uncover patterns that impact business outcomes.

This is not a role where success is measured by the number of calls reviewed. Success comes from identifying meaningful insights, recurring trends, and opportunities for improvement that help Blue Machines deliver better outcomes for its customers.

What Youll Own

Call Quality Analysis — Review call recordings and transcripts to identify quality issues, missed objectives, and customer experience gaps.

Root Cause Analysis — Investigate conversation failures using transcripts, recordings, workflows, tool outputs, API logs, and internal systems to understand not just what happened, but why.

Trend Identification — Track recurring issues by frequency, severity, and business impact to uncover patterns and emerging risks across projects.

Funnel Analysis — Analyze customer journeys to identify drop-off points, friction areas, conversion bottlenecks, and failure patterns.

Recommendations & Continuous Improvement — Convert findings into actionable insights that improve conversation design, agent performance, operational workflows, and customer outcomes.

You dont need prior Voice AI experience.

You do need attention to detail, structured thinking, and a genuine interest in understanding how systems, processes, and customer interactions work.

The Culture Youll Be Part Of

At Blue Machines, quality is everyones responsibility.

We believe problems should be surfaced early, investigated objectively, and solved systematically. Curiosity matters more than hierarchy. Good analysis beats strong opinions. Ownership matters more than blame. If you enjoy digging into data, identifying patterns, and helping teams improve, youll fit right in.

What Were Looking For

• A natural investigator: when something breaks, your instinct is to understand why, not just document what happened
• Strong pattern recognition: the ability to look across dozens or hundreds of conversations and identify recurring themes, failure modes, and opportunities for improvement
• Comfort working with ambiguity: not every problem will have a predefined checklist or obvious answer; youre willing to dig until you find one
• Curiosity about how systems work: from conversation flows and AI behavior to APIs, integrations, and operational processes
• Evidence-based thinking: opinions are useful, but conclusions should be supported by data, observations, and structured analysis
• The ability to learn quickly: Voice AI is evolving rapidly, and the best candidates are comfortable learning new tools, workflows, and concepts as they go

• When something goes wrong, your first instinct is to understand why
• You notice patterns that others overlook
• You enjoy investigating problems rather than making assumptions
• You prefer evidence over opinions
• When you find a recurring issue, your instinct is to figure out how often it occurs and how it can be prevented

If that sounds like how you naturally operate, this is probably the right conversation to have.

The Opportunity

Few internships provide exposure to production AI systems operating at enterprise scale. Youll gain hands-on experience in: Conversational AI, Quality Assurance, Root Cause Analysis, Customer Experience, Funnel Analytics, Operational Excellence

Most importantly, youll learn how to use data and structured thinking to solve real business problems in one of the fastest-growing areas of AI.