Cybersecurity and AI Engineer

We are hiring an AI Engineer to build agentic AI systems for cybersecurity use cases. This role blends LLMs with solid AI/ML fundamentals – data pipelines, classical ML where it fits, rigorous evaluation, and safety/guardrails – to ship reliable, auditable services.

Requirements

• Design, build, and ship agentic AI features for security use cases such as vulnerability triage, exploit reproduction assistance, and incident-response copilots.
• Implement and harden retrieval-augmented generation (RAG): indexing, chunking, routing, re-ranking, feedback loops, and data governance for sensitive environments.
• Set up evaluation & observability for LLM/agent workflows (tracing, cost/latency/quality dashboards, offline+online evals, guardrail hit rates) and turn insights into product changes.
• Build safety & guardrails (content policies, schema/output validation, PII redaction, prompt-injection/jailbreak defenses, tool permissioning) and monitor them in production.
• Apply traditional ML (classification, regression, anomaly detection) where it’s simpler or more effective than LLMs; run A/B tests and error analysis to choose the right approach.
• Own productionization: CI/CD for AI apps, containerization, scalable inference endpoints, vector/search infra, runbooks, and SLOs for reliability.
• Collaborate with product and security teams to scope problems, write concise design docs, and iterate quickly while meeting security and privacy requirements.

Benefits

• A wholly-owned subsidiary of GovTech.
• An attractive yearly training budget and annual performance bonus!