Glev

3 Employees

About the Company

Glev is the first Agile Remediation Platform for code security. We orchestrate autonomous agents, infused with deep AppSec expertise, to streamline vulnerability management — from surfacing real risks to accelerating remediation and building lasting security habits. Glev connects to leading scanners (SAST, SCA, Container, Secrets, SBOM), as well as pentest and bug bounty reports, and performs intelligent triage powered by deep code understanding and contextual analysis — reducing noise by up to 90% by eliminating false positives and non-actionable findings. It then drives fast, actionable remediation — tailored to the team’s tech stack, development pace, and workflows. Clear, relevant, and aligned with both security goals and developer reality. We free AppSec teams from manual grunt work — so they can scale their impact 10x.

Listed Jobs

Company Name: Glev
Job Title: Artificial Intelligence Engineer
Job Description: **Job Title** Artificial Intelligence Engineer **Role Summary** Design, implement, and deploy production‑ready AI agents and machine learning systems for a cybersecurity platform. Work closely with the CTO and product team to translate customer requirements into scalable, secure software solutions. **Expactations** - 5+ years of software engineering experience in fast‑paced, agile product teams (startups or scaleups). - Proven expertise in Python (≥4 years) with a data‑centric, problem‑solving mindset. - Native or bilingual proficiency in French; professional English communication skills. - Authorized to work in France; resident in France. - Bonus: 1+ year of experience with generative AI (RAG, tools, context engineering) and/or cybersecurity interest. **Key Responsibilities** - Architect and deliver scalable AI components that meet business and technical constraints. - Own the end‑to‑end lifecycle: model design, training, deployment, monitoring, and performance tuning. - Write comprehensive unit tests, conduct algorithm evaluations, and perform code reviews. - Harden application security and integrate secure design principles into AI solutions. - Stay current with emerging AI tools and techniques; evangelize new practices within the team. **Required Skills** - Advanced Python programming. - Machine learning and deep learning framework proficiency (e.g., PyTorch, TensorFlow). - Experience with generative AI techniques (RAG, retrieval‑augmented generation, context engineering). - Knowledge of secure coding practices and application security fundamentals. - Strong communication, remote collaboration, and self‑driven work ethic. **Required Education & Certifications** - Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field. (No specific certifications required.)