AI Engineer (Junior)

Role Summary Develop and adapt AI model capabilities for cybersecurity use cases, including security assessment automation, tool orchestration, vulnerability analysis, remediation planning, and controlled deployment into both cloud-based and air-gapped environments. Key Responsibilities • Develop and optimise AI model capabilities for cybersecurity use cases. • Build agentic workflows for AI-assisted vulnerability assessment, remediation recommendation, validation, and secure code fixes. • Orchestrate AI-powered cloud security testing and integrate findings into the security assessment platform. • Integrate AI capabilities with approved cybersecurity tools, scan outputs, and reporting workflows. • Establish guardrails, approval gates, and evaluation methods to ensure reliable, secure, and controlled AI-generated outputs. • Benchmark AI model and workflow performance across cloud and air-gapped environments. Key Requirements • 3–5+ years of experience in AI Engineering, or related fields. • Experience in AI/ML/Agentic frameworks, AI orchestration, LLMs, modal adaptation, model-serving, or fine-tuning. • Good understanding of cybersecurity workflows, vulnerability management, application security, and security automation. • Familiarity with cloud AI services, GPU-based model deployment, containerisation, and secure deployment practices. • Ability to evaluate model performance using defined benchmarks, datasets, and operational use cases. Preferred Attributes • Able to evaluate AI performance using data and benchmarks. • Able to iterate quickly and adjust approach when solutions do not meet requirements. • Comfortable building AI capabilities for controlled, offline, and air-gapped environments. • Strong awareness of AI safety, guardrails, governance, and handover requirements.