
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.
🕒 October 13
🇺🇸 United States – Remote
💵 $60k - $70k / year
⏳ Contract/Temporary
🟢 Junior
🧑💻 Full-stack Engineer
👻 Ghost score 10%
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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.
• Develop and maintain web applications using React and TypeScript • Support backend development using .NET/C# and/or Python • Build and integrate REST APIs and event-driven services • Assist with IoT and instrument connectivity using MQTT, AMQP, and REST APIs • Develop and support lightweight applications for Windows/Linux environments • Assist with software packaging, application updates, version management, and deployment • Contribute to CI/CD pipelines using GitHub Actions • Work with Docker and cloud-based development environments • Assist with AWS-based application development and deployment • Explore and develop AI-powered engineering tools using LangChain, LangGraph, MCP, or similar frameworks • Assist with RAG applications using technical documentation and knowledge bases • Write unit, integration, and end-to-end tests • Participate in code reviews, debugging, documentation, and troubleshooting • Collaborate with senior engineers across software development, cloud, IoT, AI, and DevOps • Contribute to a greenfield cloud-native platform for remote instrument monitoring in hospitals and laboratories worldwide
• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Biomedical Engineering, Information Technology, or a related field • Recent graduate or graduating student with 0–2 years of professional experience • Strong foundation in programming and software development concepts • Academic, internship, personal, or project experience with React, JavaScript/TypeScript, .NET/C#, Python, or similar technologies • Basic understanding of REST APIs and web application development • Familiarity with Git/GitHub and software development workflows • Basic understanding of databases and SQL • Interest in AI development, IoT, and modern software engineering • Strong problem-solving and analytical skills • Ability and willingness to learn new technologies quickly • No visa sponsorship available • Nice-to-have qualifications are not required for fresh graduates: academic or personal project involving IoT or MQTT/AMQP; AWS, Docker, Terraform, or Infrastructure as Code; GitHub Actions or another CI/CD platform; AI development tools; LangChain, LangGraph, MCP, RAG, or AI agents; Windows or Linux applications; software packaging; automated testing; medical devices, healthcare technology, IVD, or regulated software; React, TypeScript, .NET, Python/FastAPI, Next.js, GraphQL, or event-driven architectures
• 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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