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Fullstack Developer Intern at Harvard-MIT-founded AI Startup

4 weeks ago

Thiruvananthapuram, India Stealth Start-up Full time

About us:

We are a VC-backed stealth-mode startup incubated at Harvard and MIT, addressing one of the most urgent crises of our time: the caregiver shortage. As the aging population grows, facilities are struggling to provide timely, high-quality care with limited staff. In the next decade, the number of Americans aged 65 and older is projected to reach 95 million, nearly double the current figure. With 70% of our older adults soon requiring long-term care, the demand for innovative solutions has never been greater. Our AI-powered monitoring system is designed to reduce preventable hospitalizations, enhance care quality, and support caregivers and families while also lessening their financial burden.


Role: Full-Stack Developer:

Mission: Build the core platform for our real-time resident health monitoring system for elderly care facilities.

Location: Remote


Key Responsibilities :

  • Frontend Development:Develop a responsive, user-friendly dashboard using React.js and TypeScript, data visualization libraries and Redux.
  • Backend Development:Design and build scalable RESTful/WebSocket APIs using Node.js/Express.
  • Cloud Integration: Leverage AWS services (S3, EC2, EKS) to build and deploy serverless microservices.
  • Database Management: Design and optimize database schemas using PostgreSQL.
  • DevOps: Implement and maintain CI/CD pipelines using GitHub Actions and containerize applications using Docker.
  • Security: Ensure end-to-end security by integrating AWS Cognito and OAuth 2.0 for authentication and authorization.
  • Collaboration: Work with ML engineers to integrate AI models into the platform and ensure seamless functionality.
  • SaaS Development: Contribute to the development of a scalable, multi-tenant SaaS platform.


Required Skills :

  • Frontend: React.js, TypeScript
  • Backend: Node.js, REST/WebSocket API design
  • Database: PostgreSQL
  • Cloud: AWS (S3, EC2, Lambda)
  • DevOps: Docker, CI/CD (GitHub)


Preferred: 

  • Experience with ML Ops tools like MLflow to host, manage, and optimize machine learning models in production environments.
  • Student in final years or recent graduate in computer science or any other relevant field.
  • Entrepreneurship and "can-do" attitude
  • Full-stack experience gained through past projects, hackathons or work experience
  • Passion for addressing the challenges related to the aging population.


Benefits: 

  • One-month unpaid position with the potential to convert to a paid position at competitive rates.
  • Access to resources and support systems from Harvard/MIT.
  • Opportunity to be a part of 0-1 start-up journey 
  • 100% Remote job opportunity
  • Coaching from Harvard-MIT experts, with a chance for a high learning curve