Principal AI Agent Engineer

What You Can Expect

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.

The GenAI Engineering Team is committed to revolutionizing productivity in communication platforms through the delivery of AI Companion innovations. We are passionate about leveraging cutting‑edge technology to drive significant advancements in how people communicate and collaborate.

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

• Expertise in Python, Go, Type Script, or similar languages, applying software engineering principles to build AI agent systems and multi‑agent orchestration frameworks.
• Experience with LLM and agent mechanisms, including LLM API, KV Cache, Agent Loop, Tool Use, Reasoning, Planning, Skills, MCP, Memory, Subagent, and Multi‑Agent systems. Proficiency in Prompt, Context, and Harness Engineering.
• Familiarity with AI coding tools (Claude Code, Cursor, Copilot) and a strong grasp of LLM‑based reasoning and autonomous agent patterns.
• Experience in cloud‑native AI infrastructure (Kubernetes, vector databases, model serving) and passion for building intelligent systems that augment human capability and drive impact.
• Bachelor’s degree in Computer Science, AI, ML, Cognitive Science, or related field, and 5+ years of experience in ML engineering or production systems.

USD 151,800 – 332,200 per year plus equity.

As part of our award‑winning workplace culture, we offer a comprehensive benefits program that supports your physical, mental, emotional, and financial health, promotes work‑life balance, and encourages community involvement.

We are committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know—we’re here to support you at every step.