We areseeking a Senior Full‑Stack Developer with deep expertise in both deepbackend (Priority) and well-understanding frontend technologies to buildand maintain the scalable systems that power our AI and LLM‑based products. While the role expands to full‑stack responsibilities, the core focus remains on designingrobust backend services, integrating machine‑learning models, and managing theinfrastructure that supports large language models.

Key Responsibilities

•  Design& implement backend services and APIs using Golang and Python (including micro‑services architecture) 
•  Collaborate with ML engineers to deploy, monitor, and integrate machine‑learning models into production pipelines 
•  Develop and maintain infrastructure for LLMs and AI agents, ensuring high performance, scalability, and reliability 
• Manage and optimize databases (MySQL, MongoDB) and work with vector databases or RAG systems where needed 
• Utilize AI‑assisted coding tools such as Codex and Claude Code to accelerate development 
• Build modern, responsive UI components using React and MUI 5, delivering seamless user experiences.
• Implement server‑side logic with Java, Spring, and Spring Boot, enabling robust, enterprise‑grade services.
•  Deploy and orchestrate applications on Kubernetes clusters, leveraging AWS and Azure infrastructure services.

Required Qualifications

•  Bachelor’s degree (or higher) in Computer Science, Data Science, or a related field.
• 5+ years of professional experience in backend development (Golang/Python) and full‑stack development (React, Java/Spring).
• Strong understanding of AI Agentic workflows and experience integrating ML models into production 
• Proven experience with MySQL, MongoDB, and optionally vector databases or RAG systems 
• Hands‑on experience with micro‑services, cloud platforms (AWS, GCP,Azure) and container orchestration (Kubernetes) 
• Familiarity with LLM and AI‑agent frameworks, and the ability to build supporting infrastructure 

Bonus Skills

• Experience with MUI 5 for building modern UI components.
•  Proficiency in React (hooks, context, performance optimization).
• Strong Java development background, especially with Spring and Spring Boot.
• Knowledgeof Kubernetes advanced concepts (Helm, operators, CI/CD pipelines).
•   Hands‑on experience managing AWS services (ECS/EKS, Lambda, S3,RDS) and Azure services (AKS, Functions, Cosmos DB).
• Exposure to ML Ops tools such as ML flow, Kubeflow, SageMaker.
•  Experience with vector databases, retrieval‑augmented generation (RAG) systems, or embeddings.

Maestro HR
damien lee tian hong
R1106726
16C8462