Full stack AI Engineer

Location: Singapore

Employment Type: Contract - 6 Months

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

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.

• 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.

• 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.

• 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.