Tasks:
- * Build code-repository RAG and sandbox infrastructure
- * Build multi-agent collaboration frameworks
- * Design enterprise AI Agent platform architecture
- * Develop end-to-end Agent software lifecycle workflows
- * Integrate large-system engineering constraints into Agent planning
Perks/Benefits:
Skills/Tech stack required:
[Agent architecture] [Agentic coding] [Agent systems] [AI Agent] [AI Agent architecture] [Anthropic Claude] [AST analysis] [Automated testing] [C/C++] [CI/CD] [Code generation] [Code review] [Context/memory management] [Context window] [Context window management] [Dependency graph] [Dependency graph construction] [Function Calling] [Graph construction] [LLM integration] [Long Context] [Long-context memory] [Long-context memory management] [Memory Management] [Multi-Agent] [Multi-Agent Systems] [OpenAI API] [Plan-and-Execute] [Python] [RAG] [React] [Sandbox execution] [Tool orchestration] [Window management]
Educational requirements:
[Master's Degree]
Role(s):
[AI Agent Platform Architect] [AI Platform Architect] [Architect] [Platform Architect] [Software Architect]