Python Developer/Prompt Engineer

TEKsystems•Chandler, AZ

17d•$75 - $83•Hybrid

About The Position

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.

Requirements

Software Engineer (Python/Go) ➜ Cybersecurity Engineer ➜ AI/Prompt Engineering Experience
Understand how to write effective prompts
Understand how to build workflows and pipelines
Understand how to connect applications to databases
Understand how cybersecurity works in practice
Understand how to evaluate and operationalize AI solutions
Strong engineering and cybersecurity foundations
Curious about AI

Nice To Haves

Prompt engineers only are not the strongest candidates.

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, 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.