 
						AI Intern
5 days ago
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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