About the role
Design and build end-to-end AI-powered applications with a focus on rapid MVPs and production-ready agentic experiences.
ConsultingOnsiteOther 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
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