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python developer for AI cybersecurity products

Skills

agentic aiaiairflowcybersecuritydjangofastapiflaskprefectpythonreactrustsaasworkflow orchestrationPython

Description

Описание:

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

Задачи:

  • 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 systems and deploy continuously;
  • Help shape the product and engineering culture.

Требования:

  • 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;
  • React experience or willingness to work across the frontend;
  • Startup mentality with genuine product ownership;
  • Around 3-6 years' experience with a focus on engineering depth;
  • Not suitable for candidates focused primarily on product management or innovation titles rather than hands‑on engineering;
  • Not suitable for candidates who consider routine infrastructure maintenance their core focus;
  • Not suitable for candidates who need detailed specifications before starting work;
  • Not suitable for candidates who only enjoy one part of the stack;
  • Not suitable for candidates who avoid production responsibility;
  • Not suitable for candidates seeking a comfortable corporate engineering role;
  • Not suitable for candidates currently splitting their attention with another startup;
  • Nice to have: Founding or leadership roles, internal developer tools, DSLs or compilers, Go, C or Rust, cybersecurity, workflow orchestration with Prefect or Airflow, high-growth SaaS.

Условия:

  • 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.

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