Principal System Engineer - Agentic AI
Job Description
🚀 Hiring: Principal Engineer — Autonomous Agent Systems
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The next generation of software engineering is here. Autonomous agents are no longer prototypes — they’re running real workflows, managing infrastructure, and making critical decisions in production.
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The challenges now are reliability, orchestration, memory, and security at scale.
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We’re seeking a Principal Engineer to define and build the architectural foundations of production-grade autonomous agent systems. This isn’t research or chatbots — it’s applied systems engineering at the frontier of AI-native development.
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What you’ll do:
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- Design agent execution frameworks, memory systems, and multi-model orchestration
- Build secure integrations and tool-calling pipelines for complex workflows
- Define reliability, observability, auditing, and recovery strategies
- Shape core platform primitives and long-term architectural patterns
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Who you are:
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- Experienced building complex backend or distributed systems in production
- Built AI-native or LLM-powered systems beyond prototypes
- Demonstrate strong judgment in reliability, security, and long-term system evolution
- Introduced abstractions or workflows that materially improved system scalability or engineering effectiveness
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Competitive base compensation + equity
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Flexible location: remote / hybrid / major tech hubs
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If designing the infrastructure for real-world autonomous systems excites you, let’s connect!