Full Stack Engineer – Generative AI & 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

Location

Singapore

About the Role

We are looking for a Full Stack Engineer – Generative AI & Agentic AI to design, develop, and deliver modern enterprise applications while leveraging Generative AI and Agentic AI capabilities across the Software Development Lifecycle (SDLC). This role combines deep full-stack engineering expertise with AI-native development practices to accelerate delivery, improve quality, and drive business outcomes through intelligent automation and innovation.

Key Responsibilities

• Design, develop, test, deploy, and support end-to-end applications across frontend, backend, APIs, databases, and cloud environments.
• Leverage Generative AI and Agentic AI technologies to accelerate requirements analysis, solution design, development, testing, deployment, and ongoing operations.
• Build and integrate AI-powered solutions, including Large Language Model (LLM) applications, Retrieval-Augmented Generation (RAG) architectures, intelligent agents, and workflow automation.
• Utilize AI-assisted development tools and coding copilots to improve engineering productivity, code quality, and delivery efficiency.
• Develop scalable APIs, microservices, and cloud-native solutions that meet performance, reliability, and security requirements.
• Implement automated testing frameworks, CI/CD pipelines, Infrastructure as Code (IaC), and DevSecOps practices to support high-quality software delivery.
• Apply AI-driven observability and AIOps techniques to monitor application health, proactively identify issues, and optimize system performance.
• Collaborate with cross-functional teams, including architects, product owners, AI specialists, and business stakeholders, to deliver innovative technology solutions.

Required Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related discipline, or equivalent practical experience.
• Proven experience in full-stack software development using technologies such as React, Angular, Java, .NET, Node.js, Python, or similar modern frameworks.
• Strong experience designing and developing RESTful APIs, microservices, and database-driven applications.
• Experience with cloud platforms including AWS, Microsoft Azure, or Google Cloud Platform (GCP).
• Hands-on experience with containerization and orchestration technologies such as Docker and Kubernetes.
• Knowledge of CI/CD pipelines, Infrastructure as Code (Terraform, Bicep, or equivalent), and DevSecOps practices.
• Understanding of Generative AI concepts, Large Language Models (LLMs), prompt engineering, and Retrieval-Augmented Generation (RAG).
• Strong analytical, problem-solving, and software engineering skills, with a focus on scalability, maintainability, and security.

Preferred Qualifications

• Experience building production-grade AI applications using frameworks such as LangGraph, CrewAI, Semantic Kernel, LangChain, AutoGen, or similar agent orchestration platforms.
• Familiarity with vector databases, embeddings, knowledge retrieval systems, and AI application architecture patterns.
• Experience with AI observability, model evaluation, responsible AI, and AI governance practices.
• Professional certifications in cloud technologies, software engineering, DevOps, or artificial intelligence.

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences.All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status,militaryveteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected byapplicablelaw.Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.