Overview Vezloo is seeking a Prompt Engineer specializing in adversarial testing of Generative AI systems. This role focuses on designing and executing structured prompt-based attack scenarios to evaluate model safety, robustness, and compliance across multiple risk domains. You will contribute to strengthening AI systems by identifying vulnerabilities and documenting model behavior under challenging inputs. Key Responsibilities - Design and develop adversarial prompts across multiple risk categories, including but not limited to: - Harmful or unsafe content generation - Bias and fairness issues - Misinformation and factuality manipulation - Privacy leakage and sensitive data exposure - Policy bypass and safety guardrail evasion - Execute structured attack scenarios against GenAI systems, such as: - Prompt injection techniques - Jailbreaking attempts - Multi-turn conversational manipulation - Role-play and context distortion strategies - Analyze model outputs to identify failures, inconsistencies, or policy violations - Document findings clearly with actionable insights for model improvement - Collaborate with evaluation teams to refine testing frameworks and coverage strategies

• Design and operate persona-specific digital workplace services (e.g., knowledge worker, production user, mobile user) • Architect and support Microsoft 365 collaboration and automation services (Teams, Sharepoint Online, Copilot, Power Automate) • Integrate Google services like Gemini and Google Agent Space and related collaboration environments • End-to-end responsibility for the services you manage, including service stability, availability, and support structures • Ensure 2nd/3rd level support processes are in place and work closely with service providers and internal support teams • Monitor service performance and user satisfaction, and continuously improve service quality • Define and track service costs and chargeback models in alignment with Corporate IT controlling • Provide financial transparency and input for budgeting and cost optimization initiatives • Collaborate with procurement and finance on pricing models for outsourced services • Oversee outsourced services • Manage supplier performance, contracts, SLAs, and commercial aspects in collaboration with vendor management • Work closely with security, infrastructure, compliance, and application teams to ensure integrated and compliant collaboration services • Support global IT programs

• Integrate, optimize, and operate large-scale inference systems to power AI scientific research • Build and maintain high-performance serving infrastructure that delivers low-latency, high-throughput access to large language models across thousands of GPUs • Work closely with researchers and engineers to integrate cutting-edge inference into large-scale reinforcement learning workloads • Build tools and directly support frontier-scale experiments to make Periodic Labs the world’s best AI + science lab • Make contributions to open-source LLM inference software

• Design, develop, and implement production AI/ML solutions using Vertex AI and GCP. • Build data pipelines and machine learning models integrated with BigQuery. • Implement solutions using LLMs (Large Language Models), including Claude and other generative AI platforms. • Use AI-assisted coding platforms to increase productivity and code quality. • Establish and disseminate MLOps best practices, model governance, and responsible AI principles. • Collaborate with medical and business teams to translate clinical needs into technical solutions. • Ensure compliance with LGPD (Brazilian data protection law), healthcare regulations, and information security standards. • Perform code reviews and provide technical mentorship to junior and mid-level engineers. • Document architectures, processes, and technical decisions.