AI Backend Platform Engineer

The Innovation Discovery Center — United States · Posted ~2 hours ago

Mid Full-time Remote

Skills

backend development AI systems APIs software architecture Python AI

🔓 Log in to save this job, tailor your resume & track your apply process — 7 days free, no card needed.

Log in to add to target list

Summary ✨ AI‑Generated

A remote backend engineering role focused on developing AI-enabled platforms and production systems. The position requires strong backend skills and communication ability in Mandarin for technical collaboration.

Highlights

Remote role building production AI systems with opportunities to work on backend infrastructure, modern technologies, and real-world applications.

Description

Mandarin fluency is required for this position. Innovation Discovery Center (IDC) partners with healthcare organizations to build and deploy AI-enabled systems for real operational environments. We are expanding our engineering team to build backend infrastructure. APPLICATION INSTRUCTIONS — REQUIRED To be considered, please include a short paragraph in Chinese describing: Your backend development experienceA project or system you have builtThe AI-assisted development tools you use in your workflow Applications that do not include this information will not be considered. Mandarin Requirement 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. Your Role You will work with our Technical Lead to implement backend and AI platform components for production-oriented healthcare applications. Responsibilities include: Build and maintain Python backend services and REST APIsIntegrate multiple LLMs and AI model APIs into application servicesBuild modular model integrations that allow AI models to be changed or compared without rewriting application logicImplement orchestration and rules-based application logic from technical specificationsBuild testing and evaluation capabilities for AI-enabled workflowsDevelop reliable error handling, logging, validation, and fallback behaviorWork with structured data and external APIsBuild and maintain Docker-based development environmentsParticipate in code reviews, debugging, testing, and technical documentationCollaborate directly with the Technical Lead on implementation decisions What We're Looking For Strong Python programming skillsExperience building backend applications and REST APIsGood understanding of modular software architecture and separation of concernsExperience integrating external APIsStrong debugging and problem-solving skillsComfortable with Git/GitHub and collaborative developmentExperience with Docker or containerized development environmentsAbility to take a technical specification and independently turn it into working, tested softwareActive use of AI-assisted development tools such as Cursor, GitHub Copilot, Claude Code, Codex, or similarProfessional working proficiency in Mandarin for technical collaboration Particularly Valuable Experience Experience in one or more of the following is helpful: FastAPI, Flask, Django, or similar Python frameworksLLM/API integrationsModel routing, fallback, or multi-model applicationsPostgreSQL and RedisAutomated testing and evaluation frameworksAWS or Tencent CloudCI/CD pipelinesData integration and transformation How We Work We use AI-assisted development as part of our normal engineering workflow. We are interested in engineers who know how to use these tools to work more efficiently while still understanding, testing, and taking responsibility for the code they produce. We value practical engineering judgment, clean implementation, careful debugging, and the ability to deliver working software over familiarity with any single framework. Representative Technology Stack Backend: Python, Go, Node.js APIs: REST, external AI/model APIs Data: PostgreSQL, Redis Cloud: Tencent Cloud, AWS Engineering: Docker, GitHub, CI/CD AI Development: Cursor, Copilot, Kimi Code, Claude Code, Codex, and similar tools If you enjoy building the infrastructure behind AI-enabled applications and want to work on real systems with a cross-border engineering team, we encourage you to apply. #TencentCloud #AWS #PythonEngineering #BackendEngineering #AISystems #HiringEngineers