Contract
Posted on 24 February 26 by Reginald Dykes
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We are seeking an experienced engineer to design and deploy Generative AI solutions that enhance cybersecurity threat modeling, risk triage, and secure design reviews. This role focuses on building LLM-powered systems that translate cyber risk frameworks into intelligent, traceable decision-making tools.
Design and implement RAG pipelines, multi-agent reasoning workflows, and LLM-based decision systems
Build secure integrations between LLMs and backend services for automated threat modeling and risk assessment
Develop vector search, embeddings pipelines, and semantic indexing for cybersecurity datasets
Translate cyber risk rubrics into structured prompts, decision logic, and explainable outputs
Create AI-driven agents for secure design reviews, code assessments, and policy-to-control mapping
Develop ingestion pipelines for diverse cybersecurity artifacts (logs, threat intel, architecture, controls)
Experience building LLM-powered applications (RAG, agent frameworks, prompt engineering)
Strong Python and backend development skills
Experience with vector databases and semantic search
Solid understanding of cybersecurity risk and threat modeling concepts
Bachelor’s degree in Computer Science, Cybersecurity, or related field