AI Intern

15 hours ago

Coimbatore, Tamil Nadu, India RunLoyal: Pet Software Full time

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 Node.js).
  • 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)
  • Willing to relocate to coimbatore- (Hybrid)
  • 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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