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Website:
netlify.app
Job details:
Company Description
At PeakRoutine, we empower individuals to enhance their mental and physical well-being through personalized, data-driven routines. Our platform integrates health tracking with wearable devices and apps like Apple Health to monitor sleep, activity levels, HRV, and more. We bridge the mind-body connection by enabling daily mood tracking and journaling, providing users with AI-powered insights to achieve their goals. Our gamified approach keeps users motivated with rewards, streaks, and challenges, making habit-building engaging and sustainable.
The Role
We're looking for a passionate and curious Full Stack Intern to join our small but ambitious team. You'll get hands-on experience across the entire product — mobile, backend, and AI integrations — and your work will ship to real users.
What You'll Work On
- Building and improving features on our Flutter mobile app (iOS & Android)
- Developing and maintaining backend APIs using Spring Boot (Java)
- Integrating AI/ML components for health data analysis and personalized insights
- Working with health data from Apple Health, wearables, and other sources
- Contributing to a codebase that handles sensitive health data responsibly\
What We're Looking For
- Proficiency in at least one of: Flutter/Dart, Java/Spring Boot, or Python
- Basic understanding of REST APIs and how mobile apps communicate with backends
- Curiosity about health tech, AI, or data — a genuine interest in what we're building
- Someone who takes initiative, asks good questions, and doesn't wait to be told what to do
- Currently pursuing or recently completed a degree in CS, Engineering, or a related field
Bonus points if you have experience with:
- MongoDB or other NoSQL databases
- Claude API or any LLM integrations
- Apple HealthKit or Google Fit
- Basic ML concepts or scikit-learn
What You'll Get
- Direct mentorship from the founder
- Real ownership over features used by actual users
- Deep exposure to health tech, AI APIs, and startup product development
- A strong portfolio project you can talk about in any future interview
- Stipend (based on experience and commitment level)
- Potential for a full-time role as the team grows
Internship Details
- Employment Type: Internship
- Duration: 3–6 months
- Work Mode: Remote
- Compensation: Paid internship / stipend (details shared during interview)
Click on Apply to know more.