Accenture

Advises businesses and runs their technology

Full Stack Engineer - Generative AI, Agentic AI

AI Application Engineering +1Confirmed live in the last 24 hours

Full-timeSingaporeNo salary listedIn-person

About the Job

Requirements

A 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.
Hands-on experience with containerization and orchestration technologies such as Docker and Kubernetes.
Knowledge of CI/CD pipelines, Infrastructure as Code using Terraform, Bicep, or equivalent, and DevSecOps practices.
Understanding of Generative AI concepts, Large Language Models, prompt engineering, and Retrieval-Augmented Generation.
Strong analytical, problem-solving, and software engineering skills, with a focus on scalability, maintainability, and security.

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 applications, Retrieval-Augmented Generation 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, 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 technology solutions.

Desired 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.

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 atwww.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, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size: 10,001+
Company stage: IPO
Headquarters: Dublin, Ireland
Founded: 1989

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