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GenAI Full-Stack Engineer/ Agentic App Engineer
Singapore
Job No. 12541897
Full-time - Remote
Description Du Poste
oin Accenture and help transform leading organizations and communities around the world. The sheer scale of our capabilities and client engagements and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance. Choose Accenture, and make delivering innovative work part of your extraordinary career.
About the Role
The GenAI Full-Stack / Agentic App Engineer designs and builds end-to-end AI-powered applications, with a focus on rapid MVPs and production-ready agentic experiences. You will work across the stack—from LLM integration, RAG pipelines, and multi-agent flows to APIs and front-end UIs—to deliver high-impact features that showcase the value of generative AI for our clients.
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
Qualifications
Required Qualifications
- 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
Preferred Qualifications
- 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
About the Company / Team
You will join Accenture’s Data & AI and Cloud First teams, working at the front line of GenAI and agentic application development. The team focuses on rapid builds, high-impact MVPs, and reusable patterns that help clients see tangible value from AI quickly. You will partner with AI engineers, product teams, designers, and client stakeholders to design, build, and showcase next-generation GenAI applications across the region.
Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.
