AI Intern

3 weeks 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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