AI Engineer

Blackwall is building the next generation of AI-powered security infrastructure to protect the web from automated threats. We combine behavioural intelligence, real-time protection, and performance optimization to safeguard hosting environments and drive operational efficiency.

We’re now hiring an **AI Engineer** to join our growing team and work closely with our Head of AI. You’ll help us bring intelligence to two distinct AI initiatives:

• Embedding AI capabilities into our Web Application Firewall (WAF), and
• Powering behavioural analysis across the Blackwall server to detect and mitigate bot-driven threats.

This is a hands-on, cross-functional role for someone who thrives at the intersection of data science, software engineering, and security infrastructure.

**Role Details**

• **Engagement type:** Full-time (contract basis)
• **Location:** Remote (within Europe)
• **Compensation:** Paid position; rate depends on experience and location

Tasks

• 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, ideally in real-time or high-throughput environments.
• 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.
• Proven ability to translate ML research into scalable, reliable software systems.
• 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.

**Bonus Points**

• Industry experience in cybersecurity, fraud detection, or bot mitigation.
• Familiarity with cloud-native ML tooling (e.g., BigQuery, Airflow, Spark) and orchestration tools like Kubernetes.
• Contributions to open-source ML or security-focused projects.

We are striving to create a diverse and inclusive environment. We encourage all applicants to apply for our roles. We value and actively seek diverse talent!

Blackwall is building the next generation of AI-powered security infrastructure to protect the web from automated threats. We combine behavioural intelligence, real-time protection, and performance optimization to safeguard hosting environments and drive operational efficiency.

We’re now hiring an **AI Engineer** to join our growing team and work closely with our Head of AI. You’ll help us bring intelligence to two distinct AI initiatives:

• Embedding AI capabilities into our Web Application Firewall (WAF), and
• Powering behavioural analysis across the Blackwall server to detect and mitigate bot-driven threats.

This is a hands-on, cross-functional role for someone who thrives at the intersection of data science, software engineering, and security infrastructure.

**Role Details**

• **Engagement type:** Full-time (contract basis)
• **Location:** Remote (within Europe)
• **Compensation:** Paid position; rate depends on experience and location

Tasks

• 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, ideally in real-time or high-throughput environments.
• 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.
• Proven ability to translate ML research into scalable, reliable software systems.
• 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.

**Bonus Points**

• Industry experience in cybersecurity, fraud detection, or bot mitigation.
• Familiarity with cloud-native ML tooling (e.g., BigQuery, Airflow, Spark) and orchestration tools like Kubernetes.
• Contributions to open-source ML or security-focused projects.

We are striving to create a diverse and inclusive environment. We encourage all applicants to apply for our roles. We value and actively seek diverse talent!