Teams at Xperteez Technology

Design and execute AI security evaluations focused on ethical jailbreaks, LLM red teaming, prompt injection, and tool-use abuse. Develop adversarial elicitation strategies, regression test suites, and evaluation frameworks to identify vulnerabilities in AI models. Collaborate with technical stakeholders to translate findings into safety improvements, and document methodologies and results for technical and non-technical audiences.

Conduct equity research analysis for AI training datasets, including financial modeling, earnings analysis, valuation, peer benchmarking, sector research, and investment thesis development. Review company models, assess revenue, margins, cash flow, and valuation drivers, produce concise research summaries and event updates, identify industry trends and catalysts, and provide quality feedback to project stakeholders.

Create reinforcement learning environments to train and evaluate AI systems using Model Context Protocol tools. Responsibilities include designing deterministic verification and reference solutions, debugging software, implementing features, refactoring codebases, optimizing performance, and assessing AI agents’ software engineering and MCP tool-use abilities.