Expert Backend Engineer, Business Security - Platform

United States Digital Space LLC

Singapore

On-site

SGD 120,000 - 180,000

Full time

14 days+

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Job summary

United States Digital Space LLC is seeking an experienced engineer to architect and develop the core of a business security platform, leveraging AI/LLM technologies for automated risk discovery, intelligent analysis, and decision-making.

You will design scalable backend services for anti-fraud, payments, and account security, while collaborating with cross-functional teams to promote robust, scalable solutions.

Qualifications

  • Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or related field.
  • Extensive experience in LLM application development and engineering, with deep knowledge of AI agent, evaluation framework, and context engineering.
  • Experience designing high-concurrency, high-availability distributed backends and performance optimization.
  • Proficient in Go or Java with strong engineering practices.
  • Excellent analytical, abstraction, and architectural design skills; able to translate complex business logic into scalable platform capabilities.

Responsibilities

  • Architect and build core capabilities for the security platform using AI/LLM technologies.
  • Design high-performance, scalable services to support anti-fraud, payment, and account security scenarios.
  • Develop data computing and data service capabilities for risk-control decision-making.
  • Stay updated on AI Agent, LLM engineering trends and promote adoption within the platform.
  • Collaborate with product, algorithm, strategy, data, and platform teams to enable large-scale deployment.

Job description

Department Engineering and TechnologyLevelExperienced (Individual Contributor)LocationSingaporeThe Engineering and Technology team is at the core of the the company platform development. The team is made up of a group of passionate engineers from all over the world, striving to build the best systems with the most suitable technologies. Our engineers do not merely solve problems at hand; We build foundations for a long-lasting future. We don't limit ourselves on what we can or can't do; we take matters into our own hands even if it means drilling down to the bottom layer of the computing platform. the company's hyper-growing business scale has transformed most \"innocent\" problems into huge technical challenges, and there is no better place to experience it first-hand if you love technologies as much as we do.

Job Description:
  • Responsible for the architecture design and core capability building of the business security platform, leveraging AI/LLM technologies to create end-to-end capabilities such as automatic risk discovery, intelligent analysis, solution recommendation, and closed-loop governance.
  • Design and implement high-performance, highly available, and scalable platform services to support key business scenarios such as anti-fraud, payment, and account security.
  • Build data computing and data service capabilities for risk control decision-making, delivering high-quality, efficient, and reusable data computing products.
  • Track and evaluate industry best practices in areas such as AI Agent, LLM application engineering, and anti-fraud system engineering, promoting the implementation of new technologies in business security scenarios.
  • Collaborate closely with product, algorithm, strategy, data, and platform teams to promote the smooth integration, continuous evolution, and large-scale application of the anti-fraud system.
  • As a senior technical expert, responsible for reviewing key technical solutions, tackling complex problems, and promoting the improvement of team engineering quality, technical specifications, and talent development.
Requirements:
  • Bachelor's degree or above in Computer Science, Software Engineering, Artificial Intelligence, or a related field.
  • Extensive experience in LLM application development and engineering implementation, with a deep understanding of key technologies such as Context Engineering, AI Agent, Evaluation Framework, Vibe Coding/AI-assisted R\\&D.
  • Experience in architecture design, performance optimization, and stability management for high-concurrency, high-availability, and distributed backend services.
  • Proficient in at least one backend programming language, such as Go or Java, with strong engineering practice skills.
  • Excellent problem analysis, system abstraction, and architecture design capabilities, able to transform complex business logic into scalable and reusable platform capabilities.
  • Strong cross-team communication and collaboration skills, proactive, with a strong sense of ownership and results-oriented approach.
  • Prior experience in building risk control, security platforms, data computing platforms, or AI platforms is preferred.
  • Priority will be given to candidates with experience in team management, technical mentoring or who have led the design and construction of core modules for large-scale systems.
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