
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.
🔥 12 hours 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.
• Partner closely with business stakeholders to understand challenges and identify AI opportunities • Rapidly prototype and develop AI-powered solutions for real-world business use cases • Build and deploy applications using Generative AI, LLMs, AI agents, RAG, APIs, and automation • Translate business requirements into practical and scalable technical solutions • Use AI-assisted development tools to accelerate prototyping, coding, testing, and deployment • Work directly with users to demonstrate solutions, gather feedback, and continuously improve them • Drive solutions from concept → prototype → validation → production • Evaluate emerging AI technologies and identify opportunities for their practical application • Collaborate with engineering, cloud, security, and DevOps teams to productionize solutions • Ensure solutions are secure, reliable, maintainable, and aligned with engineering best practices • Create reusable AI components, patterns, and accelerators for future projects • Act as a technical evangelist and trusted partner for business teams
• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field • 2-5 years of experience in software engineering, application development, automation, or a related technical role • Strong programming experience in Python, JavaScript, TypeScript, or similar languages • Hands-on experience with Generative AI and LLM-based applications • Experience with REST APIs, databases, Git, and cloud platforms • Strong understanding of software development and engineering principles • Experience with AI-assisted development/coding tools such as Cursor, GitHub Copilot, Claude Code, or similar • Strong problem-solving and communication skills • Ability to work effectively with both technical and non-technical stakeholders • Preferred: Experience with RAG, AI Agents, embeddings, vector databases, and prompt engineering • Preferred: Experience with LangChain, LangGraph, LlamaIndex, or similar frameworks • Preferred: Experience with MCP (Model Context Protocol) and tool-calling patterns • Preferred: Experience with OpenAI, Anthropic, Gemini, Azure OpenAI, or similar LLM platforms • Preferred: Experience with AWS, Azure, or GCP • Preferred: Experience with Docker, CI/CD, and modern DevOps practices • Preferred: Experience working in customer-facing, consulting, solutions engineering, or forward-deployed roles • Preferred: Strong interest in emerging AI technologies and rapid prototyping
• Dynamic environment with strong customer and partner networks • Culture of innovation, collaboration, and continuous learning • Diverse and inclusive workplace • Equal opportunity employer
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