Full Stack Engineer – Generative AI & Agentic AI

Accenture Southeast Asia
Singapore, Singapore
Salary not specified
Posted
Full-time
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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.

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