Launch Legends

AI Engineer

• Develop, fine-tune, and deploy LLMs for large-scale applications.
• Implement RAG (Retrieval-Augmented Generation) pipelines for real-world use cases.
• Work with vLLM for high-performance inference and deployment.
• Build distributed training & inference pipelines using Ray and KubeRay.
• Integrate and scale vector database for AI-native applications.
• Leverage KubeAI, Kubernetes, and Terraform to design and manage AI infrastructure.
• Architect, deploy, and manage MCP Servers and intelligent AI agents.
• Contribute to model training, optimization, and evaluation workflows.
• Collaborate with DevOps to ensure scalable and reliable infrastructure.
• Apply blockchain knowledge (Cosmos SDK, smart contracts, decentralized infra) for AI+Web3 integrations.

Senior AI Engineer