Principal AI Agent Engineer

Zoom • Seattle, WA

5d • $177,100 - $387,500 • Hybrid

About The Position

We are seeking an innovative and product-driven AI Agent Engineer to design, build, and operationalize autonomous AI agents. In this role, you will go beyond traditional chatbot development to create intelligent systems capable of multi-step reasoning, dynamic tool use, and goal-oriented problem solving. You will bridge the gap between advanced Large Language Models (LLMs) and real-world business systems, building agents that safely and reliably automate complex enterprise tasks.

Requirements

• Demonstrate expertise in Python, Go, TypeScript, or similar languages, applying software engineering principles to build AI agent systems and multi-agent orchestration frameworks.
• Have expertise in LLM and agent mechanisms, including LLM API, KV Cache, Agent Loop, Tool Use, Reasoning, Planning, Skills, MCP, Memory, Subagent, and Multi-Agent systems.
• Exhibit proficiency in Prompt, Context, and Harness Engineering.
• Demonstrate with AI coding tools (Claude Code, Cursor, Copilot), secondary development and strong grasp of LLM-based reasoning and autonomous agent patterns.
• Possess experienced in cloud-native AI infrastructure (Kubernetes, vector databases, model serving) and passionate about building intelligent systems that augment human capability and drive impact.
• Have Bachelor's in Computer Science, AI, ML, Cognitive Science, or related fields, and 5+ years of experience in ML engineering or production systems.

Responsibilities

• Designing robust agentic architectures, multi-agent systems, and orchestration logic, including core services for runtime, memory, state, tool invocation, sandboxing, and lifecycle management.
• Building automated evaluation harnesses and observability pipelines to measure and monitor agent accuracy, reasoning capability, latency, and operational cost, ensuring consistent performance in production.
• Implementing operational guardrails, error handling, human-in-the-loop fallback mechanisms, and access controls to ensure safe, predictable, and compliant agent behavior.
• Optimizing agent infrastructure for low latency, high throughput, and reliability at scale, collaborating with infrastructure teams for efficient resource utilization and cost management.
• Partnering with product managers, data scientists, and UX designers to translate workflows into seamless AI-native experiences, shaping strategic planning and technical roadmaps.

Benefits

• Structured hybrid approach to work
• Award-winning workplace culture
• Commitment to delivering happiness
• Variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health
• Support for work-life balance
• Opportunities to contribute to the community
• Opportunities to stretch skills and advance career in a collaborative, growth-focused environment
• Fair hiring practices
• Support and empowerment for employees

What This Job Offers

• Job Type: Full-time
• Career Level: Principal