Job Summary

Lead the design and architecture of intelligent, multi-agent systems that power next-generation AI-driven applications and business workflows.

Key Responsibilities

• Design and implement multi-agent architectures and orchestration frameworks
• Define system design for LLMs, memory layers, reasoning flows, and tool usage
• Select and integrate AI models, frameworks, and vector databases
• Establish best practices for scalability, reliability, and security
• Collaborate with product and engineering teams to translate use cases into systems

Requirements

• Strong experience in AI/ML, LLMs, and distributed systems
• Hands-on experience with agent frameworks (LangChain, AutoGen, etc.)
• Proficiency in Python and system architecture design
• Deep understanding of embeddings, RAG, and prompt orchestration