
201 - 500 employees
Founded 2024
🤖 Artificial Intelligence
🔒 Cybersecurity
🏢 Enterprise
Artificial Intelligence • Cybersecurity • Enterprise
Gruve is an enterprise technology company that designs, builds, and operates AI-ready data center networks and delivers AI-driven solutions for businesses. The company provides Enterprise AI services (including LLM and advanced analytics deployments), AI infrastructure and GPU-rich compute environments, network automation, cybersecurity advisory and managed security services, and workload migration and platform modernization. Gruve positions itself as a provider of AI teammates, customer experience automation, and applied data strategy to help large organizations adopt and scale AI securely.
🔥 16 minutes ago
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201 - 500 employees
Founded 2024
🤖 Artificial Intelligence
🔒 Cybersecurity
🏢 Enterprise
Artificial Intelligence • Cybersecurity • Enterprise
Gruve is an enterprise technology company that designs, builds, and operates AI-ready data center networks and delivers AI-driven solutions for businesses. The company provides Enterprise AI services (including LLM and advanced analytics deployments), AI infrastructure and GPU-rich compute environments, network automation, cybersecurity advisory and managed security services, and workload migration and platform modernization. Gruve positions itself as a provider of AI teammates, customer experience automation, and applied data strategy to help large organizations adopt and scale AI securely.
• Rapidly prototype applications using AI-assisted coding tools • Build and iterate on LLM-powered applications and workflows • Use tools like Cursor, Claude Code, GitHub Copilot, Windsurf, Replit AI, etc. • Design and integrate MCP servers, APIs, and AI agents • Develop lightweight full-stack applications using modern frameworks • Experiment with prompts, workflows, and AI orchestration patterns • Collaborate with product and UX teams to turn ideas into demos quickly • Optimize developer productivity through automation and AI tooling • Stay current with emerging AI engineering trends and frameworks
• 1–3 years of experience and strong expertise in LLMs and RAG • Strong programming skills in Python, JavaScript/TypeScript, Golang, or Node.js • Experience with React/Next.js, REST APIs, microservices, and Git/GitHub • Hands-on experience with Cursor, Claude Code, GitHub Copilot, and ChatGPT • Strong understanding of LLMs, RAG architectures, prompt engineering, AI agents, and MCP
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