AI Intern

7 hours ago

Coimbatore, 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) 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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