Sr Software Engineer , AI Researcher

Bengaluru, Karnataka, IndiaFull-TimeSeniorAI / Data Science

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Today, there's more data and users outside the enterprise than inside, causing the network perimeter as we know it to dissolve. We realized a new perimeter was needed, one that is built in the cloud and follows and protects data wherever it goes, so we started Netskope to redefine Cloud, Network and Data Security.

AI Component Research: Conduct deep-dive research into AI frameworks, specifically focusing on MCP (Model Context Protocol), LLM security layers, and A2A (Agent-to-Agent) communication protocols.
Security Attribute Derivation: Identify and define security-related attributes (e.g., encryption in transit for weights, PII filtering capabilities, model provenance, and agentic permissions) and derive their risk/protection values.
Automated Data Extraction: Design and maintain scripts (Python/Node.js) to automate the collection of security data from research papers, GitHub repositories, developer documentation, and AI marketplaces.
Security Testing: Perform basic security testing and validation of AI attributes to ensure the accuracy of the data being fed into our systems.
Technical Investigation: Monitor the threat landscape for AI-specific breaches, vulnerabilities (CVEs), and new adversarial techniques to keep our database current.
Stakeholder Interaction: Engage with AI developers and security researchers to clarify technical specifications and security posture.

Experience: 5+ years of work experience on AI research activities.
Research & Automation: Strong analytical skills with the ability to write Python or similar scripts to automate web scraping and data extraction from complex technical sources.
AI Knowledge: Foundational understanding of how LLMs and AI Agents function, including familiarity with concepts like RAG, MCP, and API-based agent communication.
Security Mindset: Knowledge of security attributes such as data center certifications (SOC2/ISO), data encryption standards, and common AI vulnerabilities (e.g., OWASP Top 10 for LLMs).
Technical Literacy: Ability to read and interpret technical documentation, API specs, and whitepapers to extract security-relevant metadata.
Self-Starter: A natural curiosity for "breaking" things to see how they work and a drive to find accurate information with limited oversight.
Communication: Ability to communicate complex security findings effectively, both orally and in writing.

Graduate/Post Graduate Degree/Diploma in Computer Science, Cybersecurity, or Engineering.
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