Job Title : Principal Architect
Location : Austin, TX (3-days Onsite – Hybrid)
Job Description
Principal Architect with deep AI and agentic systems expertise to design and deliver production-grade, server-hosted AI solutions. This role requires a balance of architecture leadership and hands-on engineering, with a strong focus on LLM orchestration, memory management, advanced retrieval (RAG), and enterprise-grade agent workflows.
The ideal candidate has proven experience building scalable agentic systems in enterprise environments, not just experimental or IDE-based solutions, and can design systems that integrate business context, code intelligence, and human-in-the-loop workflows.
Must-Have Skills
1) Agentic AI / LLM Systems
Proven experience building agentic systems that run-in server environments
Experience with multi-step orchestration, tool calling, and workflow design
Hands-on implementation experience — not just conceptual AI knowledge
2) Memory and Context Management
Experience designing short-term and long-term memory for AI systems
Understanding of how to manage context across sessions, tasks, and workflows
Familiarity with state handling, summarization, persistence, and context optimization
3) Advanced Retrieval / RAG
4) Code Intelligence / Technical Analysis
5) Programming / Engineering Depth
6) Frameworks / Platforms
Experience with one or more of the following is important:
LangGraph
LangChain
GitHub Copilot SDK or similar
CLI-based/server-hosted execution models
Managed cloud AI platforms such as Bedrock or similar offerings
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