python developer for AI cybersecurity products

Referment is partnering with a venture-backed AI startup building AI-powered cybersecurity products.

• Own products end-to-end, from customer problem through to production;
• Design complex backend architecture and systems;
• Ship React interfaces;
• Build internal developer tools and agentic consoles;
• Improve databases and handle systems programming;
• Debug production and deploy continuously;
• Help shape the product and engineering culture.

• Deep technical focus on hard engineering and complex backend architecture;
• Strong Python backend fundamentals with high-level application of tools like FastAPI, Django, or Flask;
• Senior-level technical sophistication beyond routine maintenance tasks;
• Verifiable track record of technical contributions and honest project claims, such as active GitHub or OSS presence;
• React experience or willingness to work across the frontend;
• Startup mentality with genuine product ownership;
• Around 3-6 years of experience focused on engineering depth;
• Candidates primarily focused on product management or innovation titles rather than hands-on engineering are not a fit;
• Candidates who consider routine infrastructure maintenance their core focus are not a fit;
• Candidates who need detailed specs before starting work are not a fit;
• Candidates who only enjoy one part of the stack are not a fit;
• Candidates who avoid production responsibility are not a fit;
• Candidates looking for a comfortable corporate engineering role are not a fit;
• Candidates currently splitting their attention with another startup are not a fit;
• Nice to have: Founding or leadership roles such as Co-Founder or CTO, building internal developer tools, DSLs, or compilers, multi-language proficiency such as Go, C, or Rust, cybersecurity, workflow orchestration with Prefect or Airflow, high-growth SaaS.

• Competitive salary;
• Meaningful equity;
• One of the first engineering hires;
• Direct access to the founders;
• Huge ownership from day one;
• Build products that customers actually use.