Full-Stack AI Engineer for Enterprise Agentic Apps

Accenture Southeast Asia; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Accenture is seeking a Full Stack AI Consultant (Developer) in Singapore to build production-grade agentic AI applications. You will design backends with Python, create frontend interfaces, and deploy reliable MCP servers and knowledge pipelines.

You will implement RAG, memory architectures, and drive end-to-end DevOps practices within client delivery teams. You will work with LangGraph, AutoGen, and CrewAI to craft scalable agent ecosystems, while translating business needs into technical

Qualifications

• 3+ years of full stack software engineering in production.
• 3+ years building and deploying LLM-based applications.
• Hands-on experience with agentic AI frameworks and tool integration.
• 2+ years cloud-native development on AWS, Azure, or GCP.
• Bachelor's degree in Computer Science, Engineering, or related field; Master’s valued.

Responsibilities

• Design and build full stack agentic AI applications to production standards.
• Develop MCP servers, tool integrations, and knowledge pipelines.
• Implement RAG pipelines, memory architectures, and efficient prompts.
• Maintain CI/CD, observability, and automated testing for AI systems.
• Collaborate with managers/clients to turn requirements into technical specs.

Skills

Full stack development

LLM applications

Agentic AI frameworks

AI/ML integration

CI/CD

Cloud-native development

Education

Bachelor's degree in Computer Science

Master's degree valued

Tools

LangGraph

AutoGen

CrewAI

MCP servers

Elasticsearch

Job description

Accenture is seeking a Full Stack AI Consultant (Developer) in Singapore to build production-grade agentic AI applications. You will design backends with Python, create frontend interfaces, and deploy reliable MCP servers and knowledge pipelines.

You will implement RAG, memory architectures, and drive end-to-end DevOps practices within client delivery teams. You will work with LangGraph, AutoGen, and CrewAI to craft scalable agent ecosystems, while translating business needs into technical