Senior AI & DevOps Engineer – Air-Gapped Enterprise AI Architecture (Fixed Fee + Future Equity Potential)

Overview:
We are seeking a highly skilled Senior AI & DevOps Engineer to build a secure, fully offline/air-gapped Enterprise Analytics & AI System. This is a streamlined, milestone-based project with an estimated timeline of 4 to 6 weeks.

We offer a fixed project budget for this MVP stage, with high potential for a long-term Technical Co-founder / Strategic Equity Partnership (Up to 25%) upon successful delivery and alignment on future expansion.

Key Responsibilities & Core Scope:
1. Data Ingestion & Local RAG Architecture:
- Build a pipeline to ingest, parse, and index corporate documents (PDFs, Excels, Docs) using an Open-Source Vector DB (e.g., Qdrant, Milvus, or Chroma).

2. Offline AI Core Deployment (Air-Gapped Containerization):
- Package and deploy Local LLMs (via Ollama or vLLM) in a zero-dependency, containerized environment using Docker & Docker Compose.
- Ensure 100% functionality without external internet access.

3. Executive Front-End Dashboard:
- Develop a sleek, clean, and responsive user interface (React or Next.js) displaying project status metrics, data insights, and an interactive local AI assistant.

Requirements & Qualifications:
- Strong experience with Open-Source LLMs, Local RAG frameworks, and Vector Databases.
- Advanced mastery of Docker, Docker Compose, and offline deployment setups.
- Experience with building modern Web Dashboards (React / Next.js) interacting via RESTful APIs.
- Willingness to sign a strict Non-Disclosure Agreement (NDA) and IP Assignment Agreement before starting.

Project Timeline & Delivery:
- Timeline: 4 to 6 Weeks (Phased Milestones).
- Scope: Fully functional local environment (MVP Stage).

How to Apply:
Please share your portfolio, GitHub, or relevant past projects involving Local LLMs, Dockerized applications, or RAG architectures.