crewAI
Artificial Intelligence • Enterprise • SaaS
crewAI is a leading multi-agent platform that partners with IBM to provide AI-driven solutions for smart business growth. The company offers tools and frameworks for building, deploying, and managing automated workflows using large language models and cloud platforms. CrewAI aims to streamline business processes across various industries through its no-code tools and seamless integration with existing apps. It is widely adopted by industry leaders, including Fortune 500 companies, and supports both cloud-based and self-hosted deployment options. CrewAI also provides insights and optimization tools to continuously improve AI agent performance and enhance business intelligence.
2 - 10 employees
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
Forward Deployed Engineer
Job not on LinkedIn
September 26
🗣️🇰🇷 Korean Required
crewAI
Artificial Intelligence • Enterprise • SaaS
crewAI is a leading multi-agent platform that partners with IBM to provide AI-driven solutions for smart business growth. The company offers tools and frameworks for building, deploying, and managing automated workflows using large language models and cloud platforms. CrewAI aims to streamline business processes across various industries through its no-code tools and seamless integration with existing apps. It is widely adopted by industry leaders, including Fortune 500 companies, and supports both cloud-based and self-hosted deployment options. CrewAI also provides insights and optimization tools to continuously improve AI agent performance and enhance business intelligence.
2 - 10 employees
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
📋 Description
• Act as technical point of contact embedded close to customers in South Korea • Lead implementation, architect solutions, run pilots, and ensure customers achieve production goals using CrewAI • Meet with customers to understand architecture, use cases, data workflows, and infra setup • Design and lead POCs/pilots; oversee deployment and ensure success metrics • Build custom integrations with APIs, data sources, and observability tools • Ensure deployments meet SLAs, uptime, scalability, and security requirements • Develop reusable reference architectures, templates, and blueprints • Provide technical training to customer engineering teams • Be responsive across time zones and travel as needed for key engagements
🎯 Requirements
• 5–8 years in software engineering or solutions architecture • Deep technical expertise in cloud infra, deployments, APIs, observability • Strong customer‑facing skills with enterprise accounts • Experience in Korea, knowledge of local enterprise cycles, regulations, and cultures • Hands‑on, action‑oriented problem solver • Nice to have: agentic AI/LLMs experience; DevOps/SRE familiarity • Speaks Korean and English
🏖️ Benefits
• Work From Home • Training & Development
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