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Fullstack Developer | AI integration

Randstad Singapore

3.0
17 reviews
Randstad Singapore
Job Type   /   Job Level
Full-time   /   Others/Any
Company Location
Singapore

About Company

I am currently working with a well-established financial services and digital brokerage firm. They specialize in leveraging modern engineering and intelligent automation to build high-performance trading platforms and wealth management solutions.


About Job

  • Engage in full-lifecycle software engineering to deliver responsive user interfaces and robust, scalable server-side systems.
  • Architect, implement, and maintain highly secure RESTful APIs and modern microservices.
  • Embed advanced machine learning models, large language models (LLMs), and intelligent agent frameworks directly into production applications.
  • Partner closely with cross-functional product, UX design, and data engineering teams to translate business concepts into technical reality.
  • Optimize system reliability, performance, and cloud deployment pipelines utilizing containerization ecosystems.
  • Drive engineering excellence by actively participating in structured code reviews, comprehensive testing, and Agile release cycles.

Skills and Requirements

  • Bachelor's degree in Computer Science, Engineering, or a related field
  • Minimum 4-5 years of professional full-stack development experience
  • Frontend Expertise: Strong, hands-on proficiency with modern UI frameworks such as React, Angular, or Vue.
  • Backend & Database: Solid engineering background in Java/Spring Boot or Node.js, paired with relational and non-relational database management (MySQL, PostgreSQL, NoSQL).
  • AI/ML Integration: Direct experience interacting with AI/ML frameworks or interfaces (e.g., TensorFlow, PyTorch, OpenAI APIs) and prompt engineering.
  • Cloud & Infrastructure: Functional understanding of cloud environments (AWS, OpenShift) along with containerization tools like Docker and Kubernetes.
  • Methodologies (Plus Point): Familiarity with Domain-Driven Design (DDD), automated data pipelines, MLOps practices, and Agile/Scrum workflows.


To apply online please use the 'apply' function, alternatively you may contact Evangeline. (EA: 94C3609/ R24124002)

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