Full-Time

Fullstack Engineer

Generative AI, Backend Focus

Updated on 8/1/2026

Cracken

Cracken

11-50 employees

Agentic AI copilot for adversarial testing

No salary listed

Europe

Remote

Remote anywhere in Europe; align with European time zones.

Category
AI & Machine Learning (1)
Software Engineering (2)
,
Required Skills
LLM
Python
LangChain

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Requirements
  • Ideally 5+ years of experience in Python (we can consider less experienced engineers, who learn very quickly and are ready to work in the startup environment)
  • Experience with Generative AI
  • Experience with Generative AI Agents will be a huge plus, specifically:
  • — implementation of Generative AI Agents using Langchain / Haystack and others
  • — implementation of RAG using LlamaIndex and other Advanced RAG frameworks
  • — evaluation of AI Agent Performance
  • — integration of AI Agents into Existing Systems
  • Cybersecurity product background: worked on security-focused software or platforms.
Responsibilities
  • Product Software Engineering: Hands-on engineering and testing of the product in various capacities, focusing on AI Agent features.
  • Agents Framework Engineering: Hands-on engineering and testing of the internal agent’s framework (similar to LangChain / Haystack and others).
  • Research & Development: Stay updated with the latest in AI and AI Agents. Provide relevant insights to the team and integrate innovations.
Desired Qualifications
  • Master’s or Ph.D. in Computer Science, Cybersecurity, or related fields.
  • Interest or active participation in cybersecurity-related activities.
  • Contributions to AI / CS/ Cybersecurity research, blogs, or whitepapers showcasing expertise.
  • Experience in developing or contributing to open-source developer tools or frameworks.

CrackenAGI builds an AI copilot for security teams that automates adversarial testing and exposure validation. Its platform simulates attacker behavior across cloud, endpoint, and hybrid environments, using data on assets and attack surfaces and an AI trained on nation-state playbooks to find exploitable gaps. Actions are transparent and reversible with a human-in-the-loop for oversight. The goal is to help large enterprises proactively identify risks, reduce false positives, and improve cyber resilience across sectors like banking, telecom, critical infrastructure, and government.

Company Size

11-50

Company Stage

Seed

Total Funding

$5M

Headquarters

Palo Alto, California

Founded

2023

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Simplify Jobs

Simplify's Take

What believers are saying

  • Security buyers want fewer false positives and evidence-based validation.
  • Black Hat Europe launch can accelerate pipeline with enterprise defenders.
  • Critical infrastructure and government need continuous attack-path testing.

What critics are saying

  • Offensive branding triggers procurement scrutiny in banking and government.
  • Crowded exposure-management vendors compress pricing and increase sales friction.
  • Seed-stage pressure demands fast ARR proof before capital runs short.

What makes Cracken unique

  • Agentic red-first copilot with human-in-the-loop control.
  • Validates exploitable paths, not just theoretical exposure lists.
  • Uses attacker-grade AI and nation-state tradecraft for simulations.

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Benefits

Remote Work Options

Flexible Work Hours

Growth & Insights

Headcount

6 month growth

4%

1 year growth

20%

2 year growth

14%