Lead AI Systems Engineer

No equity
|Remote (
Everywhere
)
|6 years of exp
|Full Time

Posted: 1 week ago• Recruiter recently active

Hires remotely in

Everywhere

Remote Work Policy

Remote only

Company Location

Brussels

Visa Sponsorship

Not Available

Preferred Timezones

Central European Time

RelocationAllowed

Skills

Python

Private Cloud

Docker

POSTRESQL

Front-End/Full-Stack (UI-AngularJS-JS-NodeJS)

FastAPI

LangChain

Llamaindex

vLLM

Ollama

About the job

Role Purpose & Business Impact Direct the clean-slate design, LLM orchestration, and deployment of the AI-powered assurance suite. This role owns system architecture, prompt engineering, private RAG pipelines, local/private LLM hosting, and the proprietary multi-stage concierge isolation layer that air-gaps client data from external public LLMs.
Key Responsibilities Clean-Slate RAG Architecture: Deploy a production-grade Retrieval-Augmented Generation pipeline using vector databases and semantic search to ingest and benchmark client policies. Private & Locally Hosted Model Deployment: Architect private, locally hosted model environments (e.g., vLLM, Ollama, open-weights Mistral/Llama models, or private Azure/AWS EU enterprise endpoints) to satisfy strict data privacy requirements that prohibit public OpenAI/Claude ingestion. Three-Stage Concierge Isolation Layer: Build and enforce the three-tier architecture (Core Internal Application Concierge Application Layer External Public Data Gatherer) to guarantee zero proprietary data leakage to public models. Model Training on Client Standards: Purge legacy training configurations and re-train models specifically on client compliance standards and site assessment templates. Assurance Workflow Specialist Function: Lead technical setup and data mapping for specialized assurance workflows and audit compliance modules. Human-in-the-Loop QA Protocols: Build confidence-scoring thresholds and automated flag triggers that route ambiguous assessment sections to human experts for verification. Corporate IP Enforcement: Ensure all code, configurations, and API keys reside strictly within corporate GitHub repositories and enterprise accounts.
Candidate Profile & Qualifications Experience: 6+ years in backend software engineering with 3+ years in production LLM/RAG system deployment and infrastructure security. Tech Stack: Python, LangChain/LlamaIndex, vLLM/Ollama, Private Cloud EU endpoints, FastAPI, PostgreSQL (pgvector), Docker. Compliance & Security: Working knowledge of GDPR data security mandates, tenant data isolation, and API encryption standards.