Job Description
• 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