- Design, develop, and deploy AI agents and RAG‑based applications - Build and optimize agent workflows using agentic AI frameworks (e.G., Mastra AI or similar) - Implement RAG pipelines with vector databases and semantic search techniques - Integrate and orchestrate LLMs (OpenAI, Anthropic, etc.) within application workflows - Develop backend services using Node.Js and TypeScript - Evaluate and integrate vector databases (Pinecone, Weaviate, FAISS, Chroma, etc.) - Optimize prompt engineering, embeddings, and retrieval strategies for performance and accuracy - Leverage agent‑assisted coding tools (Cursor, GitHub Copilot, Cline, Codex, etc.) to improve development efficiency - Ensure best practices for scalability, security, and observability in AI systems