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About This Opportunity
- To design and build intelligent, agent-based systems leveraging Model Context Protocol (MCP) and advanced LLM frameworks. This role focuses on developing autonomous AI agents capable of tool use, memory management, multi-step reasoning, and system orchestration across enterprise environments.
- The ideal candidate will architect scalable agentic workflows, integrate APIs and data sources via MCP standards, implement context-aware memory systems, and ensure safe, reliable AI execution. Responsibilities include prompt engineering, tool integration, evaluation frameworks, guardrail implementation, and performance optimization.
- Strong experience with LLM ecosystems (e.g., OpenAI APIs), multi-agent architectures, retrieval-augmented generation (RAG), and production-grade deployment is required. Familiarity with AI safety, monitoring, and human-in-the-loop systems is highly preferred.