AI Prompt Engineer

Title: AI Prompt Engineer Locations: San Francisco, CA/Charlotte, NC/ Chandler, AZ-Hybrid Duration: 12+ months Description A strong candidate may have started as a software engineer (Go, Python, or Java), moved into cybersecurity engineering or application security, and developed an interest in AI and prompt engineering. The ideal hire understands both the cybersecurity context needed to create effective prompts and the engineering skills required to build the workflows, pipelines, databases, and evaluation frameworks that make AI solutions work in practice. Responsibilities: • Design, develop, and optimize AI prompts for cybersecurity-focused use cases. • Build AI evaluation harnesses and testing frameworks to measure prompt effectiveness, accuracy, consistency, and security outcomes. • Develop workflows and pipelines that integrate AI-generated outputs into enterprise security systems and databases. • Research and operationalize AI-driven capabilities for: Attack surface discovery, Vulnerability identification and validation, Security control assessment, Defensive cyber operations, Create solutions that leverage AI to analyze security data sources, including SAST findings, DAST results, WAF telemetry, and attack surface intelligence data • Conduct research to assess and improve WAF effectiveness by simulating attack scenarios and validating detection coverage. • Support perimeter scanning, cyber engineering initiatives, and security automation efforts. • Develop methods for validating AI-generated findings while minimizing false positives. • Partner closely with security engineers, developers, and security researchers to automate manual analysis processes. • Evaluate emerging AI technologies and frontier models, comparing performance and identifying opportunities to improve cybersecurity operations. • Build and maintain integrations between AI systems, cybersecurity tools, databases, and analytics platforms. Top Skills: • Python and/or GoLang experience- Strong development background building applications, integrations, and automation workflows. Ability to develop and maintain AI-enabled solutions beyond simply writing prompts. • Postgres Experience- Experience designing, querying, and integrating applications with PostgreSQL databases. Ability to store, analyze, and manage AI-generated security data. • Cybersecurity Experience- Background in security engineering, application security, vulnerability management, attack surface management, red teaming, incident response, or related cybersecurity disciplines. Ability to apply cybersecurity context when developing AI solutions. • Harness Experience- Experience building evaluation frameworks, testing harnesses, pipelines, or automated workflows for AI models. Understanding how AI outputs are validated, measured, and operationalized. • Elasticsearch experience- Experience analyzing large security datasets and building searches, dashboards, or correlations. EVP • Work on cutting-edge AI and cybersecurity research that very few organizations are pursuing at enterprise scale. • Help define how AI is evaluated, tested, and operationalized for cybersecurity use cases. • Collaborate with a highly technical research team focused on offensive and defensive cyber innovation. • Gain exposure to executive leadership, with research outcomes regularly presented to CISO and CEO-level stakeholders. • Opportunity to help build a discipline and capability that is still emerging within the cybersecurity industry. • Exceptional resume-building opportunity at the forefront of AI-enabled security research. Ideal Profile: • Software Engineer (Python/Go/Java) ➜ Cybersecurity Engineer ➜ AI/Prompt Engineering Experience They emphasized that the strongest candidates will not be prompt engineers only. They should understand: • How to write effective prompts • How to build workflows and pipelines • How to connect applications to databases • How cybersecurity works in practice • How to evaluate and operationalize AI solutions A candidate with strong engineering and cybersecurity foundations who is curious about AI will likely be more successful than someone with prompt engineering experience alone.