Job VC

AI Systems Engineer / AI Infrastructure Architect

We are building a fully integrated AI operating system for business automation, infrastructure management, knowledge systems, ERP integration, AI agents, and local AI runtime orchestration.

This is not a simple chatbot project.

The system combines:
- multi-agent AI architecture
- local and external LLM orchestration
- infrastructure automation
- vector memory and RAG
- ERP/CRM integration
- governance and security layers
- AI workflow execution
- deterministic YAML-based architecture
- self-hosted infrastructure
- monitoring, logging, and orchestration systems

MAIN STACK

Infrastructure:
- Proxmox
- Ubuntu Server
- Docker / Podman
- PostgreSQL
- Redis
- Loki / Prometheus / Grafana
- Keycloak
- Vaultwarden / Vault
- Caddy / Nginx
- TrueNAS / S3 storage

AI Runtime:
- Ollama
- vLLM
- OpenAI
- Anthropic
- Groq
- HuggingFace
- Whisper
- Coqui TTS
- Stable Diffusion

Business Systems:
- Odoo ERP
- Nextcloud
- OnlyOffice
- FreePBX
- Gitea / GitHub

Knowledge Architecture:
- Vector databases
- RAG pipelines
- embeddings
- document parsing
- YAML architecture systems
- long-term AI memory

WHAT YOU WILL WORK ON

- Build and structure AI agent systems
- Design deterministic YAML architectures
- Develop orchestration layers for AI agents
- Build connectors for APIs and internal services
- Integrate local and external AI models
- Create scalable backend services using Python
- Build infrastructure automation and monitoring
- Work on AI memory and retrieval systems
- Develop secure multi-service architectures
- Build internal tooling and automation systems

REQUIRED SKILLS

Strong:
- Python
- FastAPI
- async Python
- APIs and integrations
- Linux
- Git
- Docker
- PostgreSQL
- AI/LLM integrations
- structured engineering mindset

Very valuable:
- RAG systems
- vector databases
- Ollama / vLLM
- Proxmox
- infrastructure automation
- Redis / queues
- AI agents
- workflow orchestration
- security architecture
- Odoo integrations

IMPORTANT

We are not looking for:
- pure frontend developers
- prompt-only AI builders
- people who only use no-code tools
- pure vibe coders without system understanding

We are looking for someone who:
- understands architecture
- can structure complex systems
- thinks in layers and abstractions
- can work independently
- can evolve with the project long-term

PROJECT DIRECTION

The goal is to build:
- an AI-native business operating system
- self-hosted AI infrastructure
- deterministic AI workflows
- scalable AI agents
- centralized governance and monitoring
- internal AI-first tooling

Most inference should run locally using open models.
External APIs are used only where necessary.
The project is already running on real infrastructure and is actively expanding.