AICS is a division of ASUS, with the mission to transform healthcare through AI & SaaS. Utilizing deep technologies in Natural Language Processing, Computer Vision, Machine Learning (ML), and Data Analytics, we build and deploy secured solutions that improve the quality of care, increase accessibility, and reduce costs.

Developing AI-driven web applications that streamline healthcare workflows is the core mission of this role. As a Full-Stack Software Engineer, you’ll deliver features in Vue.js, integrate backed services and business logic in TypeScript or Python, and own everything in between—from data-ingestion pipelines to CI/CD. Our culture champions ownership, continuous learning, and pragmatic engineering that delivers measurable impact across the healthcare industry. 

Responsibilities:

• Build and maintain responsive, type-safe front-end interfaces using Vue.js and TypeScript. 
• Design, implement, and operate backend services using Node.js with TypeScript or Python with Flask/FastAPI. 
• Work with relational data stores: schema design, writing efficient queries, ensuring data integrity, and tuning for performance. 
• Use an agentic orchestration framework to translate user intent into multi-step service calls, manage state propagation and retries, and coordinate across services. 
• Maintain and extend ETL pipelines (extract, transform, load) to onboard new data sources while maintaining data quality and ensuring execution efficiency. 

Qualifications:

• 2+ years of practical full-stack development experience involving both front-end and back-end components. 
• Proficiency with TypeScript and a modern front-end framework (e.g., React or Vue 3), including component-based architecture, hooks/composition patterns, and reactive state management. 
• Strong experience developing backend services in TypeScript or Python.

Requirements:

Preferred Qualifications:

• Experience using workflow/orchestration tools like LangGraph, n8n, or similar platforms to design and coordinate multi-step/agentic workflows. 
• Experience developing AI-driven solutions or healthcare experience (e.g., AI-assisted diagnostics, NLP for clinical notes, predictive analytics).