Java / AI Backend Engineer
2 months ago
Company OverviewSEMI Integration is an international systems integration firm with offices in Singapore, China, and Malaysia. Founded in 1999, it deli.....
Company Overview
SEMI Integration is an international systems integration firm with offices in Singapore, China, and Malaysia. Founded in 1999, it delivers world-class manufacturing solutions and integration services, focusing on semiconductor and high-tech industries including rail-transit, healthcare, and new-energy sectors.
Job Summary
You will design, develop, and maintain backend enterprise software and AI/ML-powered services, collaborating with clients and AI teams to deploy intelligent applications and support long-term project implementation on-site.
Responsibilities
- Analyze software product requirements and design technical architecture in collaboration with client vendors
- Develop backend components for enterprise software products and platform services using Java technologies
- Manage development processes including testing, deployment, and production maintenance to ensure software reliability
- Provide on-site project implementation and long-term development support at client locations
- Design, develop, and integrate AI/ML-powered backend services such as LLM applications, intelligent agents, knowledge base services, and API orchestration layers
- Build and maintain data pipelines, integrate vector databases, and develop model-serving APIs for AI-driven applications
- Collaborate with AI and data teams to deploy machine learning models and GenAI services into production environments
Preferred competencies and qualifications
- Bachelor’s degree or above in Computer Science, Software Engineering, AI, Data Science, or related fields with 3+ years of Java backend development experience
- Strong computer science fundamentals with expertise in Java, object-oriented development, common design patterns, and JVM principles
- Proficient in Java frameworks including Spring, Spring Boot, MyBatis, and JPA; familiar with databases such as MySQL, Oracle, and SQL Server
- Familiar with application servers like Tomcat and JBoss, Linux environments, and command-line operations
- Hands-on experience with AI/ML integration, including RESTful integration with LLM APIs (OpenAI, Azure OpenAI, Anthropic, or open-source models)
- Knowledge of RAG architecture, vector databases (Pinecone, Milvus, Weaviate, pgvector), prompt engineering, agent workflow orchestration, and model inference services
- Experience with microservices architecture, API gateways, and message queues such as Kafka or RabbitMQ
- Experience in cloud deployment and containerization tools like Docker and Kubernetes
- Prior experience in industrial software systems, MES, semiconductor manufacturing, or smart factory systems
- Strong communication skills, teamwork, ownership mindset, and ability to learn quickly
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