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Full Stack Developers (AMK)

Summary

Builds and maintains scalable backend services in Go/Python and integrates ML models into production for AI/LLM-powered products, while also developing React-based UIs.

We areseeking a

Senior FullStack Developer

with deep expertise in both

deep

backend

(Priority) and well-understanding frontend technologies to buildand maintain the scalable systems that power our

AI and LLMbased products . While the role expands to fullstack responsibilities, the core focus remains on designingrobust backend services, integrating machinelearning models, and managing theinfrastructure that supports large language models. Key Responsibilities Design& implement backend services and APIs using Golang and Python (including microservices architecture) Collaborate with ML engineers to deploy, monitor, and integrate machinelearning 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 AIassisted 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 serverside logic with Java, Spring, and Spring Boot, enabling robust, enterprisegrade 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 fullstack 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 Handson experience with microservices, cloud platforms (AWS, GCP,Azure) and container orchestration (Kubernetes) Familiarity with LLM and AIagent 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). Handson 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, retrievalaugmented generation (RAG) systems, or embeddings.

Maestro HR damien lee tian hong R1106726 16C8462

See also