Senior AI Engineer

Launch Legends

part-time

Posted on: 9/18/2025

Origin: • 🇺🇸 United States

✨ AI Apply

Senior

CloudDistributed SystemsGoKubernetesMicroservicesNode.jsPythonRayRustTerraformWeb3

About the role

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.

Proven experience working on LLMs (training, fine-tuning, inference, and optimization).
Strong hands-on expertise with vLLM, RAG pipelines, Ray, and KubeRay.
Proficiency in managing AI infrastructure with Kubernetes, KubeAI, and Terraform.
Experience with vector databases.
Strong background in model training workflows and scalable AI infra design.
Knowledge of MCP servers, agents, and orchestration frameworks.
Familiarity with blockchain platforms, especially Cosmos SDK.
Solid programming skills in Python, Go, or Rust.
Nice to Have: Prior experience contributing to open-source AI/Blockchain projects.
Nice to Have: Knowledge of GPU drivers, distributed systems, and cloud-native infra.
Nice to Have: Familiarity with security, quality assurance, and monitoring for AI infra.