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.
key responsibilities:
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 haves:
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).
how to apply
Kindly click on the applicable link to apply if you are interested and suitable for this role. Alternatively, you can reach out to me via LinkedIn for a confidential discussion.
Sundar Ravindran | Randstad
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about the company
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.
key responsibilities:
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 haves:
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).
how to apply
Kindly click on the applicable link to apply if you are interested and suitable for this role. Alternatively, you can reach out to me via LinkedIn for a confidential discussion.
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