Full Stack Developer

Maestro Human Resource Pte Ltd; Singapore; Hybrid; SGD 75,000 - 95,000; Full time

Job summary

A leading technology company in Singapore is on the lookout for a Senior / Full‑Stack Developer to create and maintain scalable systems for cutting-edge AI products. The role emphasizes designing robust backend services while collaborating with ML engineers to integrate advanced models. Ideal candidates will have over 5 years of experience in backend and frontend development, including expertise in Golang, Python, React, and database management. Strong problem-solving skills are a must, and familiarity with cloud platforms is advantageous. Join a dynamic environment with exciting projects across sectors.

Qualifications

• 5+ years of professional experience in backend development (Golang/Python) and full-stack development (React, Java/Spring).
• Strong understanding of AI Agentic workflows.
• Proven experience with MySQL, MongoDB, and optionally vector databases.

Responsibilities

• Design & implement backend services and APIs using Golang and Python.
• Collaborate with ML engineers to integrate machine-learning models into production.
• Build modern, responsive UI components using React and MUI5.

Skills

Backend development (Golang)

Backend development (Python)

Full-stack development (React)

Java development (Spring, Spring Boot)

Database management (MySQL, MongoDB)

Micro-services architecture

Container orchestration (Kubernetes)

Cloud platforms (AWS, GCP, Azure)

Education

Bachelor’s degree in Computer Science, Data Science, or related field

Tools

Kubernetes

AWS

Azure

React

MUI5

Job description

About the Role

We are seeking a Senior / Full‑Stack Developer with deep expertise in both deep backend (Priority) and well-understanding frontend technologies to build and 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 designing robust backend services, integrating machine‑learning models, and managing the infrastructure 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 MUI5, 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 MUI5 for building modern UI components.
• Proficiency in React (hooks, context, performance optimization).
• Strong Java development background, especially with Spring and Spring Boot.
• Knowledge of 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 MLOps tools such as MLflow, Kubeflow, SageMaker.
• Experience with vector databases, retrieval‑augmented generation (RAG) systems, or embeddings.

Work Location: AMK Area, will be required to travel to site frequently.

Site Location: SG Hospitals (healthcare project), Raffles City/Tanjong Pagar (Banking & Finance project)

5 day week