Principal AI Security Systems Engineer

Senior Machine Learning Engineer – AI for AppSec Products

Role Summary :

As a Senior Product-focused Machine Learning Engineer , Research , design, development, and deployment of advanced LLM-powered systems that secure enterprise software development lifecycles. Work bridges cutting-edge AI research and scalable product delivery, driving innovation in AppSec / cybersecurity tooling used across large-scale production environments.

your work bridges foundational AI research and product deployment, with close collaboration alongside engineering and product teams.

Y ou will Research, Build LLM-integrated systems for vulnerability detection, open source risk analysis, and secure software supply chain intelligence . Driving end-to-end development of models and infrastructure deployed in CI / CD pipelines.

You have led the development of patented copilots, vulnerability fuzzers, and intelligent code analyzers built on LLMs, now integrated into secure SDLC pipelines and used across large-scale production environments.

Job Location : Black Duck, Bangalore (Opp Christ University, Near Diary Circle)

Experience Level : 5+ Years

Mode of work : Hybrid (3 Days WFO)

Key Responsibilities :

• Research, Architect, Design and scale LLM-based copilots, vulnerability fuzzers, and intelligent code analyzers for secure SDLC integration.
• Involved in end-to-end development of patented AI systems, from prototyping to production deployment.
• Collaborate cross-functionally with cross geo engineering, product, and security teams to align AI capabilities with strategic goals.
• Translate foundational research into robust, enterprise-ready solutions with measurable impact.
• Take initiatives across AI and cybersecurity.
• Ensure compliance with secure coding, model governance, and responsible AI practices.

Technologies & Tools :

Impact Highlights :