
Unlocking AI Potential
17 hours ago
As a pioneering force in AI innovation, we're seeking a visionary architect to design and deploy cutting-edge AI systems.
This role involves creating context-aware AI agents that can dynamically manage memory, reason using tools, interact with multiple modalities, and maintain consistent states across distributed ecosystems.
Key responsibilities include:
- Designing and implementing advanced AI systems leveraging large language models, multi-modal architectures, and autonomous agent frameworks.
- Architecting and integrating Retrieval-Augmented Generation (RAG) pipelines with vector databases for secure, enterprise-grade context retrieval.
- Developing and managing context-aware AI agents utilizing Model Context Protocol (MCP) or equivalent structured context management mechanisms for persistent memory, multi-agent collaboration, and session continuity.
- Implementing context propagation, state serialization, and contextual handoff mechanisms across distributed agents, tools, and reasoning chains.
- Integrating AI systems with cloud APIs, vector databases, plugin architectures, and orchestration frameworks for multi-step task execution.
- Optimizing memory management, prompt engineering, and dynamic context windows for complex, long-running AI workflows.
- Leading AI agent orchestration initiatives using frameworks like LangChain, Semantic Kernel, CrewAI, or AutoGen, with MCP integration for context tracing and governance.
Our team is pushing the boundaries of AI innovation, and we need your expertise to drive this forward. As an AI Systems Architect, you'll have the opportunity to work on cutting-edge projects, collaborate with industry leaders, and shape the future of AI.
Join our community of innovators and help us create a better tomorrow through AI-driven solutions.
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