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Randstad has partnered with a global company offering enterprise scale solutions for their wide range of clientele worldwide. The organization is seeking to expand and build a highly competent, reliable and tech savvy team in Malaysia to service their projects.
Job Responsibility
AI & Backend Orchestration: Design, develop, and maintain high-performance backend services using Java/Spring Boot, integrating LLMs, vector databases, and AI model APIs into production workflows
Data & Messaging Architecture: Build resilient, event-driven microservices using messaging queues and optimize complex database interactions
System Design & Optimization: Lead the architectural design of scalable, secure, and low-latency APIs. Diagnose and resolve performance bottlenecks across the stack
Full-Stack Collaboration: Collaborate with data scientists, product managers, and frontend engineers. Contribute to user-facing features when needed to ensure seamless end-to-end integration
Mentorship & Best Practices: Write clean, well-tested, and maintainable code. Mentor junior/mid-level developers and champion CI/CD and DevOps best practices
Requirements
Core Java Mastery: 3+ years of professional software development experience with Java (Java 17+ preferred) and the Spring Boot ecosystem
AI & LLM Integration: Proven experience incorporating AI models into enterprise applications. Hands-on familiarity with frameworks like Spring AI, LangChain4j, or direct integration with OpenAI/Anthropic APIs, vector embedding models, and vector stores (e.g., Pinecone, Milvus, pgvector)
Messaging & Event Streaming: Strong experience with message brokers and event-driven architectures using Apache Kafka, RabbitMQ, or AWS SQS/SNS
Advanced SQL & RDBMS: Exceptional SQL skills. Deep understanding of database design, query optimization, indexing strategies, and performance tuning in databases like PostgreSQL, MySQL, or Oracle
API Development: Expert knowledge of building and consuming RESTful APIs and securing them (OAuth2, JWT)
Nice to have
Frontend Development: Experience with modern JavaScript frameworks, ideally React, Angular, or Vue.js, to help build internal AI tooling or user interfaces
Cloud & DevOps: Familiarity with AWS, Azure, or GCP, alongside containerization (Docker, Kubernetes)