Applied Cybersecurity AI Researcher
Boston, MA - USA
Job Summary
We help organizations move AI out of experimentation and into production safely reliably and at scale. From inconsistent performance to limited transparency and challenges with integration and long-term viability our Applied Intelligence Engine solves the risks that cause most AI initiatives to stall.
Built for some of the most highly regulated industries in the world we enable teams to deploy AI systems that are auditable explainable and aligned with real-world constraints. Our solutions introduce structure visibility and control into how AI operates turning advanced capabilities into a dependable production-grade infrastructure so our customers can move faster and scale with confidence.
Job Overview
Youll help build Clearwing: an AI-native cybersecurity system for autonomous vulnerability discovery exploit validation pen-testing reverse engineering and security reporting. Youll combine hands-on offensive security work with LLM agent development eval design and product engineering. The ideal candidate can chase real bugs validate exploitability write production-quality Python and turn exploratory research into repeatable security capabilities.
Responsibilities
- Develop AI-assisted vulnerability discovery workflows for source code binaries networks and live systems.
- Build and improve Clearwings source-code hunting network pen-testing N-day exploit reverse engineering and validation pipelines.
- Design agentic workflows for reconnaissance static analysis dynamic testing exploit development patch validation and reporting.
- Perform static analysis to identify vulnerable patterns reachable attack surfaces and exploitability conditions.
- Conduct authorized live testing against networks services containers lab targets and operational environments.
- Develop and validate proof-of-concept exploits in controlled authorized settings.
- Build evaluation harnesses for vulnerability discovery quality false positives exploitability reproducibility and model/tool performance.
- Improve safety authorization auditability guardrails and human-in-the-loop controls for dual-use cybersecurity capabilities.
- Work with AI researchers and engineers to improve prompts tools agent loops memory systems scoring systems and model-routing strategies.
- Produce clear technical reports with evidence reproduction steps impact analysis and remediation guidance.
Requirements
- 3 years of hands-on cybersecurity experience in vulnerability research penetration testing exploit development reverse engineering or security engineering.
- Practical experience with at least two of:
- Static analysis
- Dynamic analysis
- Binary exploitation
- Web application security
- Network penetration testing
- Cloud/container security
- Malware analysis or reverse engineering
- Detection engineering
- Strong Python skills and comfort building automation around security tools
- Familiarity with Linux Docker Kali/security tooling Git CI and shell workflows
- Ability to reason from vulnerability signal to exploitability impact evidence quality and remediation
- Experience working with LLMs agents prompt engineering evals or AI-assisted security workflows
- Strong written communication skills for technical findings customer-facing reports and internal research notes
- Clear judgment around authorization responsible disclosure and dual-use security tooling
Nice-to-haves
- Experience with Ghidra IDA Binary Ninja angr Semgrep CodeQL Joern AFL libFuzzer ASan/UBSan or OSS-Fuzz
- Experience developing exploits for memory corruption deserialization auth bypass SSRF RCE sandbox escape or supply-chain vulnerabilities
- Experience with CVE reproduction N-day analysis patch diffing or exploit validation
- Experience building LLM agents tool-using systems ReAct loops eval harnesses or synthetic-data pipelines
- Familiarity with SARIF CVSS CWE MITRE ATT&CK MITRE CVE workflows HackerOne/Bugcrowd-style disclosure or government security reporting
- Experience with Rust Go C/C or systems programming
- Prior work with security products autonomous agents fuzzing infrastructure or government/security customers
Benefits
- Comprehensive benefits package including health dental and vision insurance as well as retirement savings plans
- Opportunities for growth and professional development
- A collaborative and supportive company culture that values diversity and inclusion
- Access to cutting-edge technology and resources for research and development
- Compensation (commensurate with experience): $180000 - $200000 (base salary) equity
Preferred Locations:AZ CA CO CT DC FL KS ME MD MA MN NV NH NJ NM NY PA SC TX VA WA
Lazarus AI is an equal opportunity employer. We are committed to equal employment opportunity and nondiscrimination for all employees and qualified applicants without regard to a persons race color gender age religion national origin ancestry disability veteran status genetic information sexual orientation or any characteristic protected under applicable law. We do not tolerate discrimination or harassment of any kind. This applies to every aspect of employment at Lazarus including but not limited to employment training promotion demotion transfer leaves of absence and termination.
Required Experience:
IC
About Company
Lazarus Forms is enterprise-grade AI foundation models for document understanding. Ask questions about documents of any size using natural language.