Develop AI solutions that utilize large language models and multi-agent systems to enhance application security by creating intelligent agents that adapt to dynamic environments.
Black Duck Software, Inc. helps organizations build secure, high-quality software, minimizing risks while maximizing speed and productivity. Black Duck, a recognized pioneer in application security, provides SAST, SCA, and DAST solutions that enable teams to quickly find and fix vulnerabilities and defects in proprietary code, open source components, and application behavior. With a combination of industry-leading tools, services, and expertise, only Black Duck helps organizations maximize security and quality in DevSecOps and throughout the software development life cycle.
We are seeking an AI R&D Engineer to design, build, and deploy AI based systems in the application security space. This role focuses on the development of AI solutions that perform reasoning, planning, decision-making, and interaction tasks using large language models (LLMs) and multi-agent systems.
You will work at the frontier of AI development creating agents that learn from data, communicate with users or other systems, and adapt to complex, dynamic environments.
Key Responsibilities
Requirements
Black Duck considers all applicants for employment without regard to race, color, religion, sex, gender preference, national origin, age, disability, or status as a Covered Veteran in accordance with federal law. In addition, Black Duck complies with applicable state and local laws prohibiting discrimination in employment in every jurisdiction in which it maintains facilities. Black Duck also provides reasonable accommodation to individuals with a disability in accordance with applicable laws.
Black Duck Software, Inc. develops automated solutions for securing and managing open source software, targeting organizations striving for high-quality, secure software development. As a leader in application security, their offerings include SAST, SCA, and DAST tools that empower teams to swiftly identify and remediate vulnerabilities across both proprietary and open source components, integrating seamlessly into the software development lifecycle.
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