AI Prompt Engineer - Minneapolis, Mn

About the role

A major enterprise security organization is growing its generative AI research efforts and is looking for an AI Prompt Engineer in Minneapolis. The group is exploring how frontier language models can be incorporated into cybersecurity testing and is building technology that uses AI to uncover weaknesses across software, infrastructure, and network environments. The position sits at the intersection of AI engineering, cybersecurity, and software development.

Responsibilities

• Design prompt architectures that direct AI models through cybersecurity research and testing tasks
• Build AI harnesses capable of maintaining relevant context throughout complex security investigations
• Develop test cases that identify software vulnerabilities and infrastructure exposures
• Use generative AI to support network-perimeter analysis and discovery of open or risky services
• Create workflows for identifying suspicious certificate usage and other security-control weaknesses
• Experiment with different frontier models without being tied to a single provider
• Assess the usefulness and accuracy of model-generated security findings
• Partner with engineers responsible for capturing and processing the resulting security data
• Coordinate with cyber threat hunters who investigate and remediate validated findings

Requirements

• Proven hands-on work with advanced LLM prompting, prompt engineering, or AI workflow development
• Strong understanding of cybersecurity fundamentals and how vulnerabilities are identified and exploited
• Knowledge of malware, network ingress/egress, attack vectors, and common infrastructure weaknesses
• Programming experience with at least one general-purpose development language
• Ability to develop structured AI workflows that combine prompts, context, logic, and model responses
• Experience working with relational, search, or cloud-hosted database technologies
• Familiarity with PostgreSQL, Elastic/Elasticsearch, Cloud SQL, or equivalent platforms

Preferred Qualifications

• Familiarity with automated security testing techniques such as SAST and DAST
• Security assessment or penetration-testing experience
• Knowledge of cloud infrastructure and cloud security concepts
• Exposure to Kubernetes-based environments
• Experience with Google Kubernetes Engine
• Previous work involving AI red teaming, model testing, or adversarial AI research

Benefits

• Medical Insurance
• Dental Benefits
• Vision Benefits
• Paid Time Off (PTO)
• 401(k)

Pay

Competitive hourly compensation

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.