Full Stack Engineer – Generative AI & Agentic AI
Quick Summary
Location Singapore About the Role We are looking for a Full Stack Engineer – Generative AI & Agentic AI to design, develop,
About the Role
~1 min readResponsibilities
~1 min read- →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.
Requirements
~1 min read- 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.
- 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.
Visit us at www.accenture.com
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.
Location & Eligibility
Listing Details
- First seen
- September 29, 2026
- Last seen
- October 10, 2026
Posting Health
- Days active
- 11
- Repost count
- 0
- Trust Level
- 23%
- Scored at
- October 10, 2026
Signal breakdown
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