Full-Stack AI Engineer: Generative & Agentic AI

Accenture Infrastructure and Capital Projects, LLC; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Accenture Infrastructure and Capital Projects, LLC in Singapore seeks a Full Stack Engineer – Generative AI & Agentic AI to design, develop, and deliver modern enterprise applications. You will leverage AI-native development practices across the SDLC to drive automation and innovation.

Responsibilities include building scalable APIs and microservices, deploying cloud-native solutions, and implementing CI/CD, IaC, and DevSecOps.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• Proven full-stack development with modern frameworks.
• Experience designing RESTful APIs and microservices.
• Cloud experience with AWS/Azure/GCP.
• Containerization with Docker/Kubernetes and IaC tooling.
• Knowledge of Generative AI, LLMs, and RAG concepts.

Responsibilities

• Design, develop, test, deploy, and support end-to-end applications across frontend, backend, APIs, and cloud.
• Leverage Generative AI and Agentic AI to accelerate development and operations.
• Build and integrate AI-powered solutions, including LLM apps and RAG architectures.
• Use AI-assisted tools to improve productivity, code quality, and delivery speed.
• Develop scalable APIs, microservices, and cloud-native solutions with strong security.
• Implement CI/CD, IaC, and DevSecOps practices for high-quality releases.
• Apply AI observability and AIOps to monitor health and optimize performance.

Skills

React

Angular

Java

.NET

Node.js

Python

RESTful APIs

Microservices

Cloud platforms

CI/CD

IaC / DevSecOps

Generative AI concepts

LLMs

RAG

Education

Bachelor’s degree in Computer Science, Information Technology, Engineering, or related discipline

Tools

Docker

Kubernetes

Terraform

Bicep

Job description

Accenture Infrastructure and Capital Projects, LLC in Singapore seeks a Full Stack Engineer – Generative AI & Agentic AI to design, develop, and deliver modern enterprise applications. You will leverage AI-native development practices across the SDLC to drive automation and innovation.

Responsibilities include building scalable APIs and microservices, deploying cloud-native solutions, and implementing CI/CD, IaC, and DevSecOps.