AI Agent Engineer
Core
Design, build, and operationalize autonomous AI agents that bridge Large Language Models with real-world business systems to automate complex enterprise tasks.
Role type
Senior IC AI Agent Engineer
Builds
Autonomous AI agents, multi-agent systems, and orchestration frameworks for enterprise collaboration platforms
Domain
Generative AI, Enterprise Collaboration Software
Deliverable
production ML models
Required skills
Python, Go, TypeScript, LLM API integration, Agent Loop design, Tool Use, Reasoning, Planning, Prompt Engineering, Context Engineering, Harness Engineering, Kubernetes, Vector databases, Model serving
Preferred skills
AI coding tools (Claude Code, Cursor, Copilot), MCP, Subagent patterns, Multi-Agent systems, Cloud-native infrastructure optimization
Responsibilities
Design robust agentic architectures and multi-agent orchestration logic; Build automated evaluation harnesses and observability pipelines; Implement operational guardrails and human-in-the-loop fallbacks; Optimize agent infrastructure for low latency and high throughput; Partner with product and design teams to translate workflows into AI-native experiences
Seniority
Senior, hands-on IC
