GenAI Full-Stack Engineer/ Agentic App Engineer
About the Role
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
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
Singapore
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