Full stack AI Engineer

VINE INFOTECH PRIVATE LIMITED; Singapore; On-site; SGD 120,000 - 180,000; Part time

Job summary

VINE INFOTECH PRIVATE LIMITED in Singapore is seeking a skilled Full Stack AI Engineer for a 6-month contract to design, develop, deploy, and maintain production-grade apps that integrate AI and Generative AI technologies. You will collaborate with clients, stakeholders, and operations teams to deliver high-quality technical solutions.

The role emphasizes strong cloud engineering and DevSecOps capabilities, with hands-on work across backend, frontend, APIs, CI/CD, IaC, and secure-by-design

Qualifications

• 5-7 years of relevant experience in software engineering, full-stack development, cloud engineering, or a related technical field.
• Hands-on experience building and deploying production-grade full-stack applications, including AI/GenAI workloads.
• Experience integrating LLMs, RAG, AI services, AI agents, or agentic workflows into applications.
• Strong backend development skills in at least one programming language, such as Java or Python.
• Experience with at least one modern JavaScript framework and full-stack application development.
• Strong understanding of API design, integration, and relational database modelling.
• Hands-on experience with at least one major cloud platform: AWS, Azure, or GCP.
• At least 3 years of implementation experience in CI/CD, containerisation, Infrastructure as Code, version control, and automated testing.
• Experience with transactional databases such as PostgreSQL, MySQL, or SQL Server.
• Familiarity with AI/ML concepts and the integration of AI services into software applications.
• Knowledge of application security, cloud security, access management, and secure development practices.

Responsibilities

• Design, develop, deploy, and maintain end-to-end full-stack web applications.
• Integrate Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and agentic workflows into user-facing applications.
• Develop backend services and APIs using technologies such as Java, Python, Spring, Quarkus, FastAPI, and Node.js.
• Build frontend applications using modern JavaScript frameworks, such as React.
• Design and integrate REST APIs, GraphQL services, and messaging solutions.
• Work with relational databases, including PostgreSQL, MySQL, and SQL Server.
• Apply software engineering best practices to ensure code quality, scalability, performance, and maintainability.

Skills

AI integration

Cloud engineering

DevSecOps

API design

React frontend

CI/CD pipelines

IaC (Terraform)

Docker/Kubernetes

SQL databases

Security best practices

Tools

Java

Python

Spring

Quarkus

FastAPI

Node.js

React

PostgreSQL

MySQL

SQL Server

AWS

Azure

GCP

GitLab CI

GitHub Actions

Jenkins

Docker

Kubernetes

Terraform

Job description

Full Stack AI Engineer (6-Month Contract)

Location: Singapore

Employment Type: Contract - 6 Months

Contract Extension: Subject to business requirements; extension is not guaranteed.

About the Role

We are seeking a skilled Full Stack AI Engineer with strong cloud engineering and DevSecOps capabilities to design, develop, deploy, and maintain production-grade applications incorporating AI and Generative AI technologies.

You will contribute to end-to-end application development, integrate AI-powered capabilities into user-facing solutions, and build secure, scalable, and reliable cloud infrastructure. The role also involves collaborating with clients, stakeholders, and operations teams to deliver high-quality technical solutions.

Key Responsibilities

• Application Development & AI Integration
  • Design, develop, deploy, and maintain end-to-end full-stack web applications.
  • Integrate Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and agentic workflows into user-facing applications.
  • Develop backend services and APIs using technologies such as Java, Python, Spring, Quarkus, FastAPI, and Node.js.
  • Build frontend applications using modern JavaScript frameworks, such as React.
  • Design and integrate REST APIs, GraphQL services, and messaging solutions.
  • Work with relational databases, including PostgreSQL, MySQL, and SQL Server.
  • Apply software engineering best practices to ensure code quality, scalability, performance, and maintainability.
• Cloud Engineering & DevSecOps
  • Deploy and maintain applications on cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).
  • Implement CI/CD pipelines using GitLab CI, GitHub Actions, or Jenkins.
  • Apply containerisation and orchestration technologies, including Docker and Kubernetes.
  • Manage infrastructure using Infrastructure as Code (IaC) tools such as Terraform.
  • Implement version control, automated testing, and GitOps practices.
  • Apply secure-by-design principles, including identity and access management, secrets management, and least-privilege access.
  • Monitor application performance and system reliability through logging, alerting, and observability practices.
• Client Delivery & Technical Support
  • Act as a technical point of contact for system issues, working closely with clients and operations teams to investigate and resolve problems.
  • Collaborate with cross-functional teams and stakeholders to deliver technical solutions effectively.
  • Prepare and maintain technical documentation, user guides, and other relevant project documentation.
  • Communicate technical concepts and solutions clearly to both technical and non-technical stakeholders.
  • Continuously improve technical knowledge and stay updated on developments in AI, cloud engineering, and software development.

Requirements

• 5-7 years of relevant experience in software engineering, full-stack development, cloud engineering, or a related technical field.
• Hands-on experience building and deploying production-grade full-stack applications, including AI/GenAI workloads.
• Experience integrating LLMs, RAG, AI services, AI agents, or agentic workflows into applications.
• Strong backend development skills in at least one programming language, such as Java or Python.
• Experience with at least one modern JavaScript framework and full-stack application development.
• Strong understanding of API design, integration, and relational database modelling.
• Hands-on experience with at least one major cloud platform: AWS, Azure, or GCP.
• At least 3 years of implementation experience in CI/CD, containerisation, Infrastructure as Code, version control, and automated testing.
• Experience with transactional databases such as PostgreSQL, MySQL, or SQL Server.
• Familiarity with AI/ML concepts and the integration of AI services into software applications.
• Knowledge of application security, cloud security, access management, and secure development practices.
• Good troubleshooting, analytical, and problem-solving skills.
• Strong English communication skills, with the ability to work effectively with clients and stakeholders.
• A proactive, curious mindset and a strong willingness to learn and grow.

Preferred Qualifications

• Experience working with financial services or public sector clients.
• Relevant cloud or technical certifications, such as AWS Solutions Architect or Certified Kubernetes Application Developer (CKAD).
• Experience supporting production systems and resolving application or infrastructure issues.