Cybersecurity and AI Engineer

Assurity Trusted Solutions (ATS) is seeking an AI Engineer to build agentic AI systems for cybersecurity use cases, integrating LLMs with data pipelines, evaluation, and safety guardrails. This role focuses on building reliable, auditable AI services and collaborating with cross-functional teams to mitigate cyber risks and bolster security postures, partnering with government agencies and commercial partners.

Requirements

• LLM/Agent systems built agents or multi-tool chains.
• RAG stack with knowledge of embedding models, vector stores, etc.
• Evaluation & observability of LLM workflows with tracing, A/B testing, and dashboards.
• Safety & guardrails for content policies and LLM operations.
• ML fundamentals (sklearn/XGBoost/LightGBM), data splitting/validation.
• Cloud & MLOps experience on AWS/Azure/GCP.
• Strong Python proficiency.
• Working knowledge of cybersecurity concepts.
• New to cybersecurity is welcome.

Benefits

• Wholly-owned subsidiary of GovTech.
• Attractive yearly training budget.
• Annual performance bonus.