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Fullstack/Frontend/Backend Engineers (AI Platform)

Salary undisclosed

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About Us

AIDA Lab, part of an established and award-winning healthcare group led by ex-FAANG and healthcare leaders, is driving the expansion of AI and Data Analytics capabilities in a dynamic, startup-like environment. Be part of a fast-growing team focused on building and scaling our AI-powered SaaS platform, leveraging global cloud platforms like AWS and GCP.

Key Responsibilities Depending on your skillset, your focus will be on Frontend, Backend, or Fullstack development:

1. Fullstack Developers:

Develop and maintain end-to-end solutions across frontend and backend, ensuring seamless integration with AI models.

Build intuitive user interfaces while managing backend logic, using modern web development technologies like React, Next.js, Python, Java, Node.js, or similar.

Deploy and manage solutions on AWS, GCP, or similar cloud infrastructure.

2. Frontend Developers:

Design and implement responsive, dynamic user interfaces using React, Next.js, or similar modern frontend technologies.

Collaborate closely with backend teams to ensure smooth integration between frontend and backend components.

3. Backend Developers:

Design and optimize scalable backend systems using Python, Java, Node.js, or similar technologies, ensuring secure and efficient service operations.

Manage cloud infrastructure on AWS, GCP, or similar, focusing on security, performance, and scalability.

Qualifications:

Education: Bachelor’s degree or higher in Computer Science, Software Engineering, or a related field.

Experience:

Fullstack Developers: Proficiency in both frontend and backend technologies such as React, Next.js, Python, Java, Node.js, or similar.

Frontend Developers: Expertise in React, Next.js, or similar frontend frameworks, with experience building responsive, user-friendly interfaces.

Backend Developers: Experience in backend service development using modern backend technologies such as Python, Java, Node.js, or similar, with a focus on cloud platforms like AWS, GCP, or similar.

Cloud Platforms: Hands-on experience with AWS, GCP, or similar for cloud-based deployments.

DevOps: Knowledge of CI/CD pipelines and experience with automated deployment processes.

What We Offer:

Innovative Environment: Work with a dynamic and collaborative team at the forefront of healthcare AI innovation.

Career Growth: Opportunities for learning and growth, with access to mentorship from seasoned professionals.

Competitive Compensation: Attractive salary and comprehensive benefits package.