[Hiring] ML/AI Engineer @QuoIntelligence

Role Description

QuoIntelligence turns millions of raw signals into finished Cyber Threat Intelligence (CTI) that security teams across Europe act on every day. The ML team is small (2 people today), and the infrastructure is lean. You will own end-to-end production systems, from improving existing NLP pipelines, fine-tuning LLMs, building evaluation frameworks, and orchestrating AI agents in the cyber domain.

What You'll Do

• Improve the production ML stack.
• Own model evaluation end-to-end.
• Ship something the stack can't do today.
• Expand agent capabilities.
• Work directly with the IntelOps team.

AI-First in Engineering

• You build with AI-assisted tools daily, but you also know when AI-generated code introduces risk.
• You evaluate new AI tools critically, adopting what works and dropping what doesn't.
• Every model and pipeline has a clear definition of success before it ships.

Qualifications

• Production ML deployment.
• NLP and LLM grounding.
• Comfort with messy data.
• Python: It's the team's language.
• Open-source mindset.
• AI fluency.

Nice-to-haves

• Experience with agent frameworks (LangGraph, LangChain, or similar).
• Fine-tuning experience with open-source models (Qwen, LLaMA, Mistral).
• Experience with inference servers and popular backends (e.g. NVIDIA Triton, vLLM, etc).
• Familiarity with data orchestration tools (Kestra, Airflow, Prefect).
• Cybersecurity or threat intelligence domain knowledge.

What We Offer

• A small team where your work hits customers.
• Ownership, not just tickets.
• Constraints that force creativity.
• Ethical red lines.
• Growth trajectory.

The Process

• Recruiter Screen.
• AI fluency screen.
• Take-home task: a real evaluation problem from the team's work.
• Hiring manager interview.
• CEO/CTO Interview.
• Offer and Background Check.

We welcome applications regardless of gender, nationality, ethnic origin, religion, disability, age, or sexual identity. Diversity is key to producing high-quality intelligence.