Founding Product Engineer – Full Stack
Titulaciones
- Grado en Ingeniería en Sistemas de Información
- Grado en Ingeniería Informática
- Grado en Ingeniería Informática – Ingeniería de Computadores
- Grado en Ingeniería Informática – Ingeniería del Software
- Grado en Ingeniería Informática – Tecnologías Informáticas
- Grado en Matemáticas e Informática
- Doble Grado en Administración y Dirección de Empresas e Informática
- Doble Grado en Administración y Dirección de Empresas y en Ingeniería Infomática
- Doble Grado en Ingeniería Informática y en Matemáticas
- Grado en Tecnologías de la Información para la Salud
- Doble Grado en Ingeniería Telemática en Telecomunicación y en Ingeniería Informática en Tecnologías de la Información
- Doble Grado en Ingeniería Informática-Tecnologías Informáticas y Matemáticas
- Doble Grado en Matemáticas y en Ingeniería Informática
Requisitos
Must-Have Qualifications
- Strong learning velocity and ownership mindset.
- Solid software engineering fundamentals, including:
- Git
- Writing clean and maintainable code
- Debugging
- Testing
- Code review
- Basic systems thinking
- Experience with TypeScript or willingness to learn it quickly.
- Willingness to work across the full product and technical stack, including unfamiliar areas.
- AI-assisted development mindset, with evidence of effectively using AI coding tools to improve productivity and code quality.
- Strong product judgment and attention to creating trustworthy user experiences.
- Ability to work effectively in a fully remote, asynchronous environment with strong written communication skills.
Preferred Qualifications
- Experience with or demonstrated interest in Computer Vision (CV) and Augmented Reality (AR).
- Hands-on projects involving technologies such as:
- MediaPipe
- OpenCV
- Pose estimation
- Face tracking
- ARKit
- Unity AR
- Camera calibration
- PyTorch
- CoreML
- TensorFlow Lite (TFLite)
- Portfolio of polished mobile, frontend, or product-focused projects.
- Evidence of practical work through demos, prototypes, GitHub repositories, technical write-ups, shipped features, or personal experiments.
- Experience with Python, Google Cloud Platform (GCP), Firebase, PostgreSQL, or backend APIs.
- Interest in digital health, medical devices, physiotherapy, rehabilitation, or regulated software environments.
Tareas
Onboarding and Initial Contributions (First 30 Days)
- Become familiar with the React Native and TypeScript mobile application.
- Learn the Node.js/GCP backend architecture and administrative tools.
- Adopt the company’s AI-assisted development workflow.
- Deliver small production improvements, including:
- UI refinements
- Copy and translation fixes
- Android rendering bug fixes
- QA-related improvements
- Test enhancements
- Minor product improvements
- Learn internal practices for writing scoped specifications, reviewing AI-generated code, maintaining small pull requests, and documenting medical software.
Product Development (First 60–90 Days)
- Help achieve Android feature parity across:
- Navigation
- Permissions
- Native module integrations
- Responsive UI
- Notifications
- Device testing and QA
- Improve user engagement features, including:
- Reminders
- Usage streaks
- Progress feedback
- Exercise completion workflows
- Add and improve automated tests for user-facing features, API integrations, and platform-specific functionality.
- Take ownership of a small product area from problem definition through implementation, testing, documentation, and iteration.
CV/AR and Advanced Development
- Support capture session processing and label management.
- Assist with golden-frame curation and QA overlays.
- Build internal tools for:
- Model evaluation
- Acceptance metrics
- Data quality monitoring
- Clinical measurement validation
- Explore and contribute to technologies related to:
- Computer Vision
- Augmented Reality
- Mobile inference
- Camera geometry
- Pose estimation
- Contribute to adaptive scoring systems, outcome tracking, exercise templates, and recommendation quality assurance.
Team Collaboration
- Work directly with the CTO and Co-Founder.
- Participate in code reviews and continuous product improvement.
- Use AI coding tools responsibly, ensuring all generated code is understood, tested, and improved before deployment.
Condiciones laborales
CONTRATO INDEFINIDO
SALARIO Entre 40000 y 42000 y con posibilidad de equity
Plazo de entrega CV
HASTA EL 19 DE JULIO DE 2026