Ai Agent Architect

Job description

Design, implement, and deploy fully autonomous AI agents that execute workflows across a wide range of functions. Output is production-grade agents capable of performing tasks, making decisions, and interacting with digital environments with minimal human intervention. Build end-to-end agent systems including input ingestion, reasoning, tool execution, memory, and output. Develop agents that operate across multiple domains and adapt to new use cases without requiring full rebuilds. Create scalable, modular architectures that enable rapid deployment of agents for different applications. Implement persistent memory systems, decision-making loops, and execution layers that allow agents to function independently while maintaining reliability and control. Integrate agents with internal and external systems so they can read, write, analyze, and act across platforms. Implement monitoring, logging, and optimization systems to ensure performance, cost control, and accuracy. Continuously improve agent capabilities by increasing autonomy, reducing failure points, and improving execution speed. Contribute to internal frameworks that standardize how agents are deployed and scaled. Preferred: -...