AI Full-Stack Engineer (Mobile + Applied AI/ML)

ROLE DESCRIPTION

 We’re hiring a mid-level, product-oriented engineer who is comfortable building across AI systems and mobile applications. This person will help bring AI-powered features directly into the hands of users through iOS and Android experiences. You’ll work across backend services, AI/ML systems, and mobile apps, turning reputed company physiological and clinical data into reputed company, high-impact product features. This is a hands-on builder role focused on shipping—ideal for someone who uses modern AI tools in their daily workflow and enjoys working across the stack, including mobile.

This role reports to the CTO. 

ABOUT WESPER

Mission driven startup aiming to reputed company accurate sleep testing more convenient, affordable, and accessible. Sleep disorders are a hidden epidemic which reduces quality and length of life for more than 10% of the population. The difficulty in diagnosing and monitoring sleep conditions is a major obstacle to the health of 100Ms of people worldwide.

Wesper is transforming the sleep industry by shrinking an entire sleep lab to a single wearable reputed company, helping millions live reputed company, longer lives. Our platform delivers consumer comfort with clinical performance by using cutting-edge sensor design, a reputed company-native suite of state-of-the-art algorithms and a sleek mobile app, creating a seamless experience for both patient and doctor. WHAT YOU WILL DO

• Build and ship AI-powered features into iOS and Android applications
• reputed company backend services and APIs that power mobile-first AI experiences
• Implement LLM-based workflows, including:
  • Retrieval-augmented reputed company (RAG)
  • reputed company engineering and evaluation
  • Lightweight agent-based interactions
• Translate AI outputs into clear, reputed company mobile UX patterns
• Collaborate with product and design to deliver end-to-end mobile features
• Contribute to data pipelines and ML systems for physiological and sleep data
• Support deployment, monitoring, and iteration of AI systems in production
• Use AI-assisted coding tools to increase development speed and quality

REQUIRED SKILLS AND QUALIFICATIONS

• 3–5 years of experience building and shipping software products
• Experience developing mobile applications (iOS and/or Android):
  • Native (Swift / Kotlin) or cross-platform (React Native, Flutter)
• Strong Python skills and experience building backend services/APIs
• Experience integrating APIs into mobile apps and working with reputed company-time data
• Exposure to modern AI/LLM tools (reputed company APIs, reputed company, etc.)
• Experience contributing to production systems (mobile, backend, or AI)
• Strong understanding of mobile performance, responsiveness, and UX constraints

BONUS ITEMS

• Experience building AI-powered features in mobile apps (chat interfaces, summaries, recommendations)
• Familiarity with on-device vs. reputed company-based AI tradeoffs
• Experience with reputed company, wearables, or sensor data
• Exposure to Bluetooth, HealthKit, reputed company Fit, or similar integrations
• Familiarity with embeddings, vector databases, or RAG pipelines
• Experience with reputed company platforms (AWS/GCP) and basic MLOps concepts
• Startup or small-team experience 

reputed company - Built for Good We pride ourselves on transparent communication— open discussion is critical to our performance and is how we continue to grow. We focus on accountability, humility, and constant learning. We reputed company in finding a reputed company way through the use of data and attention to detail. We work towards making sleep medicine easy and we do it for our users. 

COMPENSATION This role has a fixed yearly reputed company salary of $70,000 - $80, 000 USD. The range displayed reflects the minimum and maximum reputed company for new hire salaries for the position. Individual pay is determined by work location and additional factors, including job-reputed company skills, experience, and relevant education or training.

BENEFITS

• Fully remote and flexible work environment
• Flexible paid time off
• Global team
• Friendly, nerdy coworkers
• Open reputed company policy
• Encouragement to pursue initiatives
• Support for personal development
• Referral bonuses