Title: AI Security Researcher (strictly outside the Russian Federation and Belarus)
Company: Raft Digital Solutions
Remote work: yes
Employment: Part-time
Level: Senior
Skills: LLM, Agentic systems
About the project
An international project in the field of AI Security, related to the development of environments that help LLM models undergo reinforcement learning for cybersecurity-related tasks.
These environments will contain tasks in various cybersecurity domains (pentesting, incident response, exploitation, malware, etc.), with the goal of creating sufficiently complex tasks to cause the model to make mistakes, but which remain solvable for professional specialists.
Important: this is not a classic Pentester or Red Team Engineer position. The specialist's main task is to create complex, but realistic and verifiable security scenarios in which LLM models make mistakes precisely due to flaws in reasoning, rather than due to ambiguous instructions or environment limitations.
Responsibilities
- Design security scenarios for evaluating and training LLM models
- Create environments using GitHub, Slack, and other tools found in real development
- Develop tasks requiring complex multi-step reasoning
- Simulate real offensive security scenarios (e.g., supply chain attacks, malicious pull requests, exploitation via GitHub Actions, and other modern techniques)
- Test developed scenarios on several frontier models and analyze the causes of their errors
- Formulate expected model behavior and describe why a specific error is considered a reasoning failure
- Automate the creation and testing of tasks using Python and other tools
What we expect
- 5+ years of practical experience in Offensive Security, Application Security, or Web Penetration Testing
- Practical experience in AI Red Teaming / LLM Security
- Deep understanding of modern attack techniques and the attack surface of web applications, APIs, GitHub, CI/CD, and related ecosystems
- Practical experience in penetration testing and application security research
- Development experience in Python and/or JavaScript
- Static and dynamic code analysis skills (Python, JavaScript, Java)
- Ability to independently research new areas, design complex scenarios, and explain the results of your work
- Fluent English (Upper-Intermediate / B2+)
- Practical experience working with modern LLM models
- Understanding of their operational specifics, limitations, and typical failure modes
- Interest in AI Security and researching LLM behavior
- Experience with Agentic AI, AI Agents, or Model Evaluation
Will be a big plus
- Experience in security research of GitHub Actions, CI/CD, Supply Chain Security
- OSWE, eWPTXv2, OWEE, OSWA certifications or equivalent
- Publications, write-ups, participation in Bug Bounty, HackTheBox, TryHackMe, Pwn2Own, or other research projects
The most valuable competence here is not the ability to exploit the next XSS, but the ability to invent a new, unlike existing scenarios, that will break a strong model.
Research mindset, creativity, and the ability to come up with new attack scenarios, rather than reproducing already known techniques, are important here.
Conditions
- B2B contract (with an individual entrepreneur)
- Payment in US dollars
- Part-time/Full-time: hourly pay for completed tasks, 1 task takes about 10-12 hours
- Location — strictly outside the Russian Federation/Belarus
