AI Security Engineer: LLMs & Threat Investigation

HarfangLab; Paris; Sur place; EUR 90 000 - 120 000; Plein temps

Avantages offerts par ce poste

Office in Paris

Health insurance

Meal vouchers

25 days leave

Résumé du poste

HarfangLab, a French cybersecurity scale-up in Paris, seeks an AI/ML engineer to help advance an AI-driven threat detection and investigation platform. You will contribute to prototype-to-production features, focusing on LLM-powered threat investigations, tool calling, and autonomous capability enhancements.

The role offers opportunities across machine learning, deep learning, and data engineering, with a strong emphasis on delivering real product value in a fast-growing security company.

Qualifications

• You can read and understand Python code.
• You have a solid understanding of how LLMs work: data gathering, prompting, fine-tuning, inference, attention, and tokenization.
• You have hands-on experience with LLMs via APIs or local deployments and have built applications such as RAG systems, tool-calling workflows, agents, or chatbots.

Responsabilités

• Build investigation agent pipelines (planning, tool calling, synthesis).
• Design and maintain an evaluation framework to measure system performance and track metrics.
• Evaluate foundation models (open-source and proprietary) and document trade-offs.
• Industrialize developments within a shared codebase through testing, packaging, and CI/CD.
• Integrate solutions into the product, deploy them, and monitor in production.

Outils

Python

LLM basics

LLM via APIs

RAG systems

Tool-calling

Agents

Chatbots

LangGraph

PydanticAI

Haystack AI

Scikit-learn

PyTorch

Description du poste

HarfangLab, a French cybersecurity scale-up in Paris, seeks an AI/ML engineer to help advance an AI-driven threat detection and investigation platform. You will contribute to prototype-to-production features, focusing on LLM-powered threat investigations, tool calling, and autonomous capability enhancements.

The role offers opportunities across machine learning, deep learning, and data engineering, with a strong emphasis on delivering real product value in a fast-growing security company.