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Full Stack Engineer – Generative AI & Agentic AI

Custom Software Engineering Team Lead/Consultant | Mid-Level | Full time
Job No. R00346925 | Singapore
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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.

Singapore

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Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

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