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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer - **Company:** CareerCircle - **Location:** Charlotte, NC, United States (Remote available) - **Salary:** $156,000.0 - $172,640.0 - **Contract:** Temporary contract - **Skills:** Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Cloud Engineering, Code Review, Cyber Security, Databases, Continuous Delivery, Continuous Integration, Software Debugging, DevOps, Data Intelligence, JavaScript Libraries, Python (Programming Language), Node.Js, Security Software, Software Engineering, Systems Architecture, TypeScript, Spring Cloud, Multi-Agent Systems, Prompt Engineering, Software Security, Rate Limiting, Graphql, Restful APIs, Cyber Warfare, Splunk, Serverless Computing, Static Application Security Testing, Programming Languages, Dynamic Application Security Testing - **Published:** September 12, 2026 - **Apply:** https://www.careercircle.com/jobs/all/all/usa/nc/charlotte/51f0d5c5-2308-4e59-a4d6-babe337d9947 ## About the Role Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors. ## Description Equities Curiosity Operations Automation Cyber Security Cyber Engineering Business Valuation Prompt Engineering Workflow Management Enterprise Security Software Engineering Application Security Full Stack Development Business Transformation Go (Programming Language) Attack Surface Management Java (Programming Language) Python (Programming Language) Artificial Intelligence Infrastructure Static Application Security Testing (SAST), 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. 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 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., Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools. 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