AI Systems Engineer / AI Infrastructure Architect
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.
Required skills experience
| Python | 3 years |
| FastAPI | 1 year |
| Async | 1 year |
| Linux | 2 years |
| Docker | 1 year |
| PostgreSQL | 1 year |
| Redis | 1 year |
| Git | 2 years |
| LLM | 1 year |
| RAG | 1 year |
| Ollama | 1 year |
| VLLM | 1 year |
| AI Agents | 1 year |
| Infrastructure | 6 months |
| DevOps | 1 year |
Required domain experience
| SaaS | 6 months |
Required languages
| English | B2 - Upper Intermediate |
| Ukrainian | Native |