AI Coding Engineer

🕒 July 24

🏄 California – Remote

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💵 $65k - $70k / year

⏰ Full Time

🟢 Junior

🤖 Artificial Intelligence

🚫👨‍🎓 No degree required

👻 Ghost score 31%

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Logo of Gruve

Gruve

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.

📋 Description

• Rapidly prototype applications using AI-assisted coding tools • Build and iterate on LLM-powered applications and workflows • Use Cursor, Claude Code, GitHub Copilot, Windsurf, Replit AI, and similar tools • 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

🎯 Requirements

• 1–3 years of experience • 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 • Experience building GenAI applications • Familiarity with vector databases and embeddings • Exposure to LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks • Knowledge of Docker, Kubernetes, and cloud platforms (AWS/Azure/GCP) • Experience integrating enterprise systems with AI workflows • Strong product intuition and rapid experimentation mindset • Must be a U.S. citizen; Gruve does not provide visa sponsorship

🏖️ Benefits

• Fully remote work • Opportunity to work with innovative AI technologies and modern developer tooling • Collaboration with product, design, and engineering teams • Continuous learning and exposure to emerging AI engineering trends • W-2 employee arrangement through Gruve, contracted to a client, or Corp-to-Corp contractor arrangement • Equal opportunity workplace

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