Principal Engineer

Description

• Define how autonomous AI agents are designed, orchestrated, and deployed at scale • Lead the technical vision and architecture for next-generation agentic AI applications • Own end-to-end architecture for agentic systems, including multi-agent orchestration, memory management, and reasoning pipelines • Implement infrastructure for non-deterministic loops, circuit breakers, latency-aware orchestration, and token/cost observability • Define engineering patterns, design standards, and best practices for agentic application development • Mentor and grow senior engineers • Conduct architecture reviews and drive high-stakes technical decisions • Participate in hiring • Partner with AI Ops to build, serve, and monitor agentic workloads • Collaborate with Product, Research, and Platform teams to deliver reliable, high-availability products

Requirements

• 12+ years of software engineering experience • At least 4+ years in technical leadership or principal-level roles • Deep hands-on experience shipping LLM-powered or agentic systems to production • Experience with LangGraph, AutoGen, CrewAI, or custom-built runtimes • Proven track record architecting distributed, high-availability systems • Mastery of Python and modern backend frameworks • Deep familiarity with RAG pipelines, vector databases, tool-calling APIs, and multi-step reasoning • Ability to distill complex AI concepts into clear technical roadmaps • Desire to influence organization-wide engineering culture • TypeScript/Node.js is a plus

Benefits

• Competitive base pay • Medical Benefits • Discretionary incentive plan based on individual and company performance • Access to a learning & development platform • Opportunity to own your career pathways • Flexible work policy

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