StrangeBee

www.strangebee.com

1 Job

39 Employees

About the Company

StrangeBee is a cybersecurity software company based in Paris. We're the creators of TheHive & Cortex, trusted by leading cybersecurity teams worldwide.
Our mission is to provide top-notch incident response capabilities to organizations of all sizes, offering both on-premise and cloud solutions.
TheHive and Cortex are used by most SOCs, CERTs, and CSIRTs, supporting incident responders in their daily activities, speeding up triage and response, reducing time to recovery, and combating "alerts fatigue".

We empower incident responders to efficiently handle cyberattacks, helping thousands of analysts defend companies against security threats.

Listed Jobs

Company Name: StrangeBee
Job Title: Software Engineer IA (LLM, MCP...)
Job Description: **Job Title** Software Engineer – AI (LLM, MCP) **Role Summary** Design, develop, and maintain AI solutions that integrate large language models (LLMs) into a security incident response platform. Drive end‑to‑end delivery from prototyping to production deployment, ensuring stable, high‑performance services that enhance SOC analyst workflows. **Expectations (6–12 months)** 1. Bring AI integrations with the core platform to production, reliably used by customers. 2. Deliver LLM‑powered features that measurably improve analyst productivity and user experience. 3. Implement automated evaluation pipelines to guarantee model quality. 4. Share knowledge through documentation and tech talks. **Key Responsibilities** - Create LLM integrations (TheHive, Cortex) to embed AI functionality into analysts’ workflows. - Design and implement AI agents for client feedback analysis, incident triage, and observable enrichment. - Prototype, evaluate, and iterate new AI use‑cases in cybersecurity (log analysis, pattern detection, report generation). - Deploy and maintain models/services with Docker, CI/CD, and cloud infrastructure. - Monitor and optimize AI systems for performance, cost, and observability. - Document architecture, code, and findings; facilitate knowledge transfer across the team. **Required Skills** - Deep understanding of LLMs: architecture, training, fine‑tuning, and prompt engineering. - Proficiency in Go (or equivalent languages such as Python, Rust, Java); fast learner for Go. - Strong software development experience (minimum 5 years). - Mastery of Docker/Docker‑Compose, CI/CD (GitHub Actions or similar). - Knowledge of Model Context Protocol (MCP) or rapid learning capability. - Awareness of AI security issues (prompt injection, data leakage). - Bonus: experience with AWS/cloud services, vector databases, RAG systems, automated testing, and cybersecurity domain. **Required Education & Certifications** - Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. - No specific certifications required, though relevant cloud or AI certifications are a plus.