Tasks:
- * Automate code refactoring, testing, and review
- * Build autonomous coding, planning, and execution capabilities
- * Build code repository RAG systems
- * Build intelligent continuous integration pipelines
- * Build lifecycle-wide agent capabilities
- * Build secure sandbox execution infrastructure
- * Design enterprise AI Agent platform architecture
- * Design multi-agent collaboration frameworks
- * Develop long-context memory management
- * Enable requirements analysis and decomposition
- * Implement task decomposition and context management
- * Integrate developer tools and ecosystems
- * Integrate large-system engineering constraints into Agent planning
- * Orchestrate tool calls and multi agent workflows
- * Support architecture design and code generation
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] [Code Search] [Context window] [Context window management] [Dependency graphs] [Function Calling] [Language Models] [Large Language Models] [Large-scale] [Large-scale software] [Large-scale software architecture] [LLM integration] [Long-term Memory] [Long term memory systems] [LoRA] [Memory systems] [Multi-Agent] [Multi-Agent Systems] [OpenAI API] [Operating Systems] [Plan-and-Execute] [Python] [RAG] [React] [RLHF] [Secure sandboxing] [SFT] [Software Architecture] [System programming] [Tool orchestration] [Window management]
Educational requirements:
[Master's Degree]
Role(s):
[AI Platform Architect] [AI Software Architect] [Architect] [Platform Architect] [Software Architect]