AI Engineering Intern

Quantbot; Bengaluru; On-site; INR 1,080,000 - 1,320,000; Full time

Job summary

Quantbot in Bengaluru invites a candidate to contribute to AI diagnostics, workflow analysis, and the creation of practical AI demonstrations. The focus is on diagnostics, analysis, prompt engineering, and building POC demos rather than heavy full-stack development.

You will script with JavaScript/Node.js, work with REST APIs and JSON, and integrate enterprise APIs such as ServiceNow, Okta, and Jira to showcase AI-enabled workflows.

Qualifications

• Solid understanding of AI systems.
• Proficiency in using AI tools for scripting and coding.
• Foundation in JavaScript/Node.js.
• Understanding of REST APIs and JSON.
• Understanding of prompt engineering.
• Ability to integrate with enterprise APIs such as ServiceNow, Okta, and Jira.

Responsibilities

• Work on AI system diagnostics and workflow analysis
• Build POC demos for AI workflows
• Analyze AI systems and identify workflow issues
• Use AI tools for scripting and coding
• Work on prompt engineering and enterprise API integrations
• Build clear and visually compelling AI workflow demos

Skills

AI systems

AI scripting

JavaScript/Node.js

REST APIs/JSON

Prompt engineering

Enterprise API integrations

Tools

ServiceNow

Okta

Jira

Job description

Batch: 2025/2026/2027.

Responsibilities:

• Work on AI system diagnostics and workflow analysis
• Build POC demos for AI workflows
• Analyze AI systems and identify workflow issues
• Use AI tools for scripting and coding
• Work on prompt engineering and enterprise API integrations
• Build clear and visually compelling AI workflow demos

Requirements:

• Solid understanding of AI systems
• Proficiency in using AI tools for scripting and coding
• Foundation in JavaScript/Node.js
• Understanding of REST APIs and JSON
• Understanding of prompt engineering
• Ability to integrate with enterprise APIs such as ServiceNow, Okta, and Jira

Additional Details:

• PPO: ₹12 LPA
• Focus is on diagnostics, analysis, prompt engineering, integrations, and POC building rather than heavy full-stack development