Senior Research Engineer in AI

2 weeks ago

India Fenrir Security Private Limited Full time € 9,00,000 - € 13,00,000

Location: Remote (India preferred) Engagement: Full-time Compensation: ₹9-13 LPA + ESOP Lead security research initiatives and work directly with the founding team to architect and scale APS (Autonomous Pentesting Solution), our flagship product that's redefining security testing with AI. Drive complex VAPT engagements, mentor the security team, and define the technical roadmap for autonomous security testing. Expect end-to-end ownership of product security features, strategic decision-making, and direct influence on company direction. Lead and execute end-to-end VAPT engagements across web applications, mobile apps, APIs, thick clients, and cloud infrastructure for high-profile clients. Architect core security modules within APS, designing and implementing advanced AI/LLM-driven vulnerability detection and exploitation systems. Conduct original vulnerability research, discover zero-days, and develop sophisticated exploitation techniques and attack chains. Lead technical discussions with clients, deliver executive-level security reports, and provide strategic remediation guidance. Mentor junior researchers and interns, conduct code reviews, and establish security research best practices. Collaborate with the founding team on strategic initiatives, partnerships, and scaling the security research function. 2-3 years of hands-on experience in penetration testing, security research, or offensive security roles with proven track record. ~ Expert-level understanding of web, mobile, API, and thick client security with deep exploitation expertise across multiple attack surfaces. ~ Strong presence in the CTF community with top rankings, team leadership, or writeup contributions. ~ Advanced proficiency with security tools and custom tool development (Burp Suite, Metasploit, Frida, custom Python frameworks). ~ Experience with cloud security (AWS/Azure/GCP), container security, or infrastructure pentesting. ~ Strong Python development skills with portfolio of security automation tools or open-source contributions. ~ Published security research, blog posts, conference presentations, or technical writeups. ~ Excellent communication skills with ability to explain complex technical concepts to both technical and non-technical audiences. ~ Proven leadership experience mentoring junior security professionals or leading technical initiatives. Founder Call (45 min) — career trajectory, technical vision, culture add. Exposure to cutting-edge AI/LLM integration in cybersecurity and opportunity to push the boundaries of autonomous security testing. Freedom to pursue original research, publish findings, and represent the company at security conferences. Competitive compensation package with performance-based growth opportunities. Flexible work arrangements and autonomy to drive technical decisions. Resume or LinkedIn profile. Portfolio of security work (GitHub, published research, CVEs, blog posts, conference talks, or significant vulnerability disclosures).

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