AI Vibe Coding Engineer

About Gruve: Gruve is an innovative, well-funded software services startup dedicated to transforming enterprise organizations into advanced AI powerhouses. We specialize in cutting-edge cybersecurity protocols, customer experience automation, scalable cloud infrastructures, and frontier technologies leveraging Large Language Models (LLMs). By extracting deep value from structured corporate repositories, Gruve empowers its partners and clients to formulate highly intelligent business strategies, optimize operational efficiency, and capture long-term competitive advantages.

Position Overview

We are seeking a highly creative, product-intuitive, and technically strong AI Vibe Coding Engineer to join our decentralized engineering organization under a permanent, full-time remote configuration open across Germany. This specialized, fast-paced role is tailored for engineers passionate about generative AI pipelines, rapid prototyping, and the evolving frontier of AI coding agents. Shifting completely away from legacy manual code entry loops, non-regulated file documentation, or standard customer helpdesk ticketing, you will operate an active high-velocity product experimentation, Model Context Protocol (MCP) server integration, and automated application scaffolding laboratory. Working on behalf of an elite enterprise client of Gruve, you will partner face-to-face with cross-functional product, UX design, and cloud engineering squads to transform abstract concepts into production-ready full-stack applications. This position requires an engineering authority with 1-3 years of history who guides agile workflows fluidly natively using AI Engineer and prompt engineering methods, possesses deep technical literacy with Retrieval-Augmented Generation (RAG) models, and uses advanced AI developers stacks (e.g., Cursor, Claude Code, Windsurf) to push the boundaries of software execution speed.

Key Responsibilities

• Rapid Application Prototyping: Lead the technical discovery, rapid scaffolding, and deployment of functional applications and proof-of-concepts natively utilizing AI Engineer frameworks and next-generation developer tools.
• LLM Application Design & Workflows: Build, iterate, and fine-tune complex, multi-layered applications driven by advanced Large Language Models and Retrieval-Augmented Generation (RAG) systems.
• Agentic Toolchain Orchestration: Maximize daily coding velocity and developer productivity by orchestrating advanced environments including Cursor, Claude Code, GitHub Copilot, Windsurf, and Replit AI.
• MCP Server & API Integration: Architect, implement, and maintain Model Context Protocol (MCP) servers, web hooks, and microservices to securely bridge internal enterprise databases with autonomous AI agents.
• Lightweight Full-Stack Development: Program and ship clean, component-driven frontend interfaces and backend layers using modern web ecosystems such as React, Next.js, and Node.js.
• Prompt Optimization & Experimentation: Formulate, benchmark, and scale advanced prompt engineering structures, agentic reasoning chains, and custom automation scripts.
• Cross-Functional Demo Alignment: Collaborate closely with embedded product and UX teams to turn abstract feature concepts into functional, interactive software demonstrations rapidly.
• Emerging Trend Analysis: Continuously monitor, evaluate, and inject frontier open-source AI frameworks, vector storage updates, and automated toolchains into the organization’s developer system.

Required Skills & Qualifications

• A minimum of 1-3 years of proven professional history operating inside an AI Engineer, Full-Stack Developer, Software Prototyper, or closely related technical software development capacity.
• Expert AI Development Toolchain Literacy: Direct production-grade history utilizing advanced, prompt-driven environments (explicitly Cursor, Claude Code, GitHub Copilot, or Windsurf) to generate and modify software packages.
• Deep Generative Architecture Understanding: Strong, foundational comprehension of Large Language Models (LLMs), RAG architectures, vector embeddings, and Model Context Protocol (MCP) behaviors.
• Robust Programming Fluency: Excellent coding skills across modern software development arrays, including Python, JavaScript/TypeScript, Node.js, or Go (Golang).
• Hands-on technical familiarity building application layouts with React or Next.js, alongside configuring REST APIs and Git/GitHub version control systems.
• Highly autonomous operator with strong product intuition and an agile mindset driven by rapid experimentation, failing fast, and shipping quickly.
• Mandatory Citizenship & Visa Status: Due to strict client constraints and lack of visa sponsorship pathways, only German citizens will be considered for this opportunity.
• Location Context: Position operates under remote parameters open exclusively to qualified technical AI builders residing permanently within Germany.

Preferred Strategic Indicators (Nice to Have)

• Prior experience designing enterprise-grade solutions using AI orchestration libraries, including LangChain, LangGraph, CrewAI, or AutoGen.
• Familiarity handling semantic information indexing structures inside production vector databases (such as Pinecone, Milvus, Qdrant, or pgvector).
• Exposure to infrastructure containerization and deployment toollines, showing background with Docker, Kubernetes, or prominent cloud nodes (AWS, Azure, GCP).

What We Offer

• Top-Tier German AI Engineering Remuneration: A highly competitive compensation package calibrated precisely to your technical prototyping and LLM application history, with flexible enrollment via W-2 employment or Corp-to-Corp (C2C) contractor frameworks.
• 100% remote workspace infrastructure autonomy across Germany, eliminating daily commuting friction while maximizing engineering focus.
• Frontier Technology Exposure: Elite professional credentials built by commanding the flagship tools and agentic architectures shaping the future of decentralized tech services.
• Access to a dynamic, well-funded early-stage startup environment backed by robust corporate partner networks and continuous learning pathways.