AI Engineer

• 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