QU
Job Description
• Design, develop, and deploy AI agents and Retrieval-Augmented Generation (RAG) systems for production-grade AI workflows.
• Build and optimize agent workflows using agentic frameworks (e.g., Mastra AI or similar).
• Implement RAG pipelines with vector databases and semantic search, integrating LLMs (OpenAI, Anthropic, etc.) within applications.
• Develop backend services using Node.js and TypeScript, ensuring system scalability, security, and observability.
• Optimize prompt engineering, embeddings, and retrieval strategies for AI model accuracy and performance.
• Collaborate with product and engineering teams to translate business requirements into AI-driven solutions.