AI影像辨識新創: Backend Engineer

Information and communication

Human Resources

location_on台北市, 其他 Other
acutePermanent

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【Client Description】

AI 影像辨識新創,面向海外市場,團隊成員多來自哈佛、台、清、交

【Candidate Profile】

  • Optimize High-Throughput API Infrastructure: Develop and refine mission-critical backend services using FastAPI and AsyncIO, ensuring seamless integration of AI model inferences and efficient handling of cross-border traffic.
  • Modernize Data Pipelines and Storage: Lead the migration and schema design from MongoDB to Snowflake, optimizing data flow and aggregation logic to improve system transparency and reporting capabilities.
  • Streamline Cloud Operations and Costs: Oversee and enhance AWS-based infrastructure (ECS, Lambda, S3), focusing on fine-tuning resource allocation to achieve a lean, high-performing, and cost-efficient cloud environment.
  • Accelerate Delivery via AI-Augmented Engineering: Integrate cutting-edge AI coding tools into the daily workflow to multiply output efficiency, while maintaining high standards for code review and security over AI-generated contributions.

【Responsibilities】

  • Scalable Systems Architect: You act as the backbone of the product’s global expansion, designing high-concurrency, asynchronous systems that ensure the platform remains responsive and stable across diverse international markets.
  • Data Evolution Strategist: You are the bridge between raw data and business intelligence, spearheading the transition from document-based storage to structured data warehousing to unlock actionable insights for clients.
  • Engineering Quality Champion: You serve as the guardian of code integrity, implementing rigorous type-safety and testing standards to foster a sustainable development environment that supports rapid, break-free iterations.
  • Pragmatic Technical Consultant: You function as a key decision-maker who balances technical perfection with business reality, proactively managing technical debt while ensuring core pillars like security and stability are never compromised.


Ref: JN-012026-188030