The AI Deployment Engineer at CrewAI is a post-sales technical role responsible for turning signed deals into production success stories.
Requirements
- 3+ years in customer-facing technical role (Forward Deployed Engineer, Implementation Engineer, Technical Account Manager, or similar)
- Strong proficiency in Python and hands-on experience with containerized deployments (Docker, Kubernetes), and Agentic AI Stack (observability, RAG, etc)
- Familiarity with AI/ML concepts and technologies, including LLMs, AI agent frameworks, RAG patterns, and prompt engineering
- Experience troubleshooting distributed systems in production—networking, scheduling, resource management, and observability
- Exceptional communication skills, with the ability to translate complex technical issues into clear customer communications and executive briefings
