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Jobfoundry
Accenture

GenAI Full-Stack Engineer/ Agentic App Engineer

Accenture
BusinessSingaporeFull-time2 weeks ago
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About the role

AI summarised

This is a GenAI Full-Stack / Agentic App Engineer role at Accenture, a global consulting and technology company. The engineer will design and build end-to-end AI-powered applications, focusing on rapid MVPs and production-ready agentic experiences, working across LLM integration, RAG pipelines, multi-agent flows, APIs, and front-end UIs.

BusinessFull-timeOther Functions

Key Responsibilities

  • Build full-stack MVP and production-quality applications using agentic AI patterns and multi-agent frameworks
  • Design and implement LLM-based features, including prompt engineering, tool usage, and retrieval-augmented generation (RAG) pipelines
  • Develop backend services and APIs using Python and FastAPI, integrating with vector databases and external tools
  • Create intuitive front-end user interfaces using React or Next.js to deliver compelling agentic experiences and demos
  • Implement and configure multi-agent workflows using LangGraph and related frameworks, including routing, tool integration, and coordination
  • Perform agent testing, debugging, and rapid iteration to refine behavior, reliability, and user experience
  • Build reusable components, libraries, and templates to accelerate future GenAI and agentic builds
  • Collaborate closely with product managers, designers, and AI engineers to deliver end-to-end features from concept to demo and deployment

Requirements

  • Strong experience in full-stack development using Python for backend and React/Next.js for frontend
  • Hands-on experience with LLM integration, prompt engineering, and RAG pipeline implementation
  • Familiarity with agent frameworks and orchestration tools such as LangChain, LangGraph, or similar multi-agent systems (e.g., CrewAI, AutoGen)
  • Experience building APIs and microservices with FastAPI or equivalent frameworks
  • Knowledge of containerization and modern delivery practices (Docker, Git, CI/CD)
  • Experience working with vector databases and integrating them into AI applications
  • Strong debugging skills and a track record of rapid prototyping and iteration for MVPs and demos
  • Experience designing and implementing multi-agent applications and task workflows
  • Familiarity with observability and monitoring for app performance and agent behavior
  • Background in building client-facing demos or POCs for AI/GenAI solutions
  • Knowledge of cloud platforms and deployment patterns for full-stack AI applications
  • Contributions to internal or open-source GenAI, agentic frameworks, or front-end component libraries