Note: The job is a remote job and is open to candidates in USA. Innovation Discovery Center partners with healthcare organizations to build and deploy AI-enabled systems for real operational environments. The AI / Backend Platform Engineer will implement backend infrastructure and AI platform components for production-oriented healthcare applications, including Python services, REST APIs, LLM integrations, testing, and reliable application logic.
Responsibilities
- Build and maintain Python backend services and REST APIs
- Integrate multiple LLMs and AI model APIs into application services
- Build modular model integrations that allow AI models to be changed or compared without rewriting application logic
- Implement orchestration and rules-based application logic from technical specifications
- Build testing and evaluation capabilities for AI-enabled workflows
- Develop reliable error handling, logging, validation, and fallback behavior
- Work with structured data and external APIs
- Build and maintain Docker-based development environments
- Participate in code reviews, debugging, testing, and technical documentation
- Collaborate directly with the Technical Lead on implementation decisions
Skills
- Mandarin fluency is required for this position
- • Your backend development experience
- • A project or system you have built
- • The AI-assisted development tools you use in your workflow
- Mandarin fluency is required for this position. Engineers will work directly with a Mandarin-speaking Technical Lead and must be comfortable discussing architecture, APIs, code, debugging, and implementation decisions in Mandarin
- • Strong Python programming skills
- • Experience building backend applications and REST APIs
- • Good understanding of modular software architecture and separation of concerns
- • Experience integrating external APIs
- • Strong debugging and problem-solving skills
- • Comfortable with Git/GitHub and collaborative development
- • Experience with Docker or containerized development environments
- • Ability to take a technical specification and independently turn it into working, tested software
- • Active use of AI-assisted development tools such as Cursor, GitHub Copilot, Claude Code, Codex, or similar
- • Professional working proficiency in Mandarin for technical collaboration
- • FastAPI, Flask, Django, or similar Python frameworks
- • LLM/API integrations
- • Model routing, fallback, or multi-model applications
- • PostgreSQL and Redis
- • Automated testing and evaluation frameworks
- • AWS or Tencent Cloud
- • CI/CD pipelines
- • Data integration and transformation
Company Overview