Applied LLM Engineer - Cyber Risk & RAG Systems

Job Description

Job Title: Applied LLM Engineer - Cyber Risk & RAG Systems – Hiring FAST!
Industry: Finance
Location: Iselin, NJ
Pay Rate: $115/HR on W2 Only – NO C2C
Setting: Hybrid Required (Remote is NOT an Option)
Duration: 12+ months
Job ID: 245183

Required Qualifications:

• 5+ years of Specialty Software Engineering experience.
• GenAI
• Cyber Risk experience
• Retrieval‑Augmented Generation (RAG)

Responsibilities:

• Design and implement GenAI components, including retrieval‑augmented generation (RAG), multi‑agent reasoning workflows, and LLM‑based decisioning systems.
  
• Build secure, efficient interfaces between LLMs and backend services used for automated threat modeling and risk triage.
  
• Implement vector search, embeddings pipelines, and semantic indexing for cybersecurity datasets (e.g., threat models, vulnerabilities, requirements, code metadata).
  
• Operationalize the cyber risk rubric created by the Lead Cyber Security Research Consultant into model prompts, decision trees, and structured outputs.
  
• Encode domain‑specific threat knowledge into GenAI‑powered systems that can classify, summarize, or prioritize risk with accuracy and traceability.
  
• Build AI‑driven reasoning agents that assist in secure‑design reviews, code assessment checks, and policy‑to‑control mapping.
  
• Develop ingestion pipelines that prepare diverse cybersecurity artifacts (logs, threat intel, architecture diagrams, requirements, controls).