Agentic Systems Architect (AI Engineering)
Hyphen Connect Limited
Salary undisclosed
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Description
Key Responsibilities
- Architect multi-agent orchestration frameworks.
- Build robust tool-calling pipelines and reasoning loops.
- Optimize latency and token usage for real-time agentic workflows.
Requirements
- Proven experience with LangGraph, AutoGen, or similar multi-agent frameworks.
- Deep understanding of Agentic RAG and autonomous tool-calling.
- Background in system architecture and workflow automation.
About this role
Hyphen Connect is looking for someone to design the foundational systems that power AI agents—specifically, the orchestration frameworks and reasoning loops that let multiple agents work together effectively. You'd own the architecture for tool-calling pipelines and focus on making these workflows fast and efficient, balancing latency and token consumption for real-time performance.
This role demands hands-on expertise with multi-agent frameworks like LangGraph or AutoGen, plus solid grounding in agentic RAG patterns and autonomous tool-calling. You should have a background in system architecture or workflow automation—this isn't a research position, but one where you're building production infrastructure. The in-office requirement in Seattle suggests collaboration with a team already working on this stack.
If you've built or debugged complex agent systems and care about how they actually perform under load, this could be a strong fit. If your experience is primarily in single-model applications or you're new to agentic patterns, you'd likely find the bar steep.
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Pay for this role
The employer didn't post a pay range for this role. That usually means pay is set in negotiation, which favors whoever arrives with numbers. Check ranges on comparable Agentic Systems Architect (AI Engineering) postings in Seattle, and analyze any offer before you accept it.
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