Posted:1 day ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

AI Intern


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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