AI Engineer

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BotGuard OÜ

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Cybersecurity • SaaS • Telecommunications

BotGuard OÜ is a global cyber technology platform providing cloud-based website protection solutions. The company's advanced reverse proxy and bot detection technology protect web infrastructures from L7 threats and DDoS attacks. BotGuard OÜ offers easy-to-integrate protection solutions for multiple clouds, hosting providers, and enterprise-level infrastructures, reducing server load and improving web analytics.

11 - 50 employees

Founded 2019

🔒 Cybersecurity

☁️ SaaS

📡 Telecommunications

💰 Series A on 2024-03

📋 Description

• Collaborate with the Head of AI, product managers, and engineers to identify and deliver AI-driven security features • Engineer and deploy ML models (e.g., LLMs, classifiers, anomaly detectors) into real-time systems like our WAF and behavioral analytics engine • Build robust, low-latency ML pipelines using Python, C++, and SQL – ensuring performance, scalability, and maintainability • Apply adversarial learning and behavior modeling to differentiate between bots and human traffic under live traffic conditions • Design and implement workflows that enhance data quality, latency, and decision reliability across production services • Monitor, evaluate, and optimize deployed models, ensuring continuous learning and adaptation to emerging threats • Present results and trade-offs in a clear, structured way to both technical and non-technical stakeholders • Contribute to Blackwall’s AI engineering practices by mentoring peers, conducting code reviews, and improving tooling

🎯 Requirements

• 3+ years of hands-on experience as an ML/AI engineer working on production systems • Strong foundation in software engineering practices: version control, CI/CD, containerization, code testing, performance tuning • Proficient in Python and SQL, with solid exposure to C++ or other systems-level languages • Deep knowledge of ML models and deployment strategies – especially classification, anomaly detection, and behavioral modeling • Experience working with LLMs or generative AI frameworks, including fine-tuning and serving • Degree in Computer Science, Engineering, Mathematics, or a related technical field; MSc or PhD preferred • Experience working cross-functionally with data, product, and infrastructure teams

🏖️ Benefits

• Competitive salary • Flexible work arrangements • Professional development opportunities