AI Intern

4 days ago

Coimbatore, Tamil Nadu, India RunLoyal: Pet Software Full time ₹ 15,000 - ₹ 28,00,000 per year

RunLoyal is a fast-growing SaaS platform serving pet care businesses. We're looking for an
AI Intern

who's excited to explore Large Language Models (LLMs), automation, and AI-driven product innovation—while working hands-on with our existing tech stack.

Responsibilities

  • Develop AI-driven features

by integrating LLMs (OpenAI, Gemini, Claude, etc.) into RunLoyal's platform.
- Work with Java Spring Boot (backend) and Angular (frontend)

to embed AI capabilities into production workflows.
- Experiment with Flutter mobile app integration

for customer-facing AI features.
- Leverage AWS services

(Lambda, S3, Aurora RDS, AWS Bedrock) for scalable AI deployments.
- Explore AI-assisted coding workflows

to accelerate engineering productivity.
- Contribute to debugging, testing, and shipping AI-enabled product features

in an agile environment.
- Collaborate with product and engineering teams

to brainstorm new applications of AI for SaaS and pet care.

Requirements

  • Strong foundation in
    JavaScript / TypeScript

or
Java

.
- Basic knowledge of
Angular (or React)

and
Spring Boot (or )

.
- Familiarity with
AWS services

(Lambda, S3, Aurora RDS) or willingness to learn.
- Keen interest in
AI/LLMs, automation, and applied ML

.
- Problem-solving mindset with adaptability to startup culture.
- Strong
communication and collaboration skills

.

Nice to Have (Optional, but a plus)

  • Experience using
    OpenAI API

or other LLM providers.
- Exposure to
Flutter app development

.
- Understanding of
serverless/cloud architecture

.
- Knowledge of
workflow automation tools

(Zapier, n8n, etc.).
- Prior
startup, hackathon, or open-source project experience

.

What You'll Gain

  • Unpaid Internship (3 months)

with remote flexibility.
- Certificate of Completion

after internship.
- Hands-on experience

in AI + SaaS product development.
- Opportunity to
ship real AI features into a SaaS platform

.
- Direct
mentorship from founders and senior engineers

.
- Practical exposure to
startup culture, scaling, and innovation

.
- Path to a
stipend / paid role

based on performance.

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