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Security engineer focused on detection and response for AI infrastructure, including AI-specific threats, automated response, and incident coordination across GPU clusters and training environments. The role involves building detection systems, automated response playbooks, and proactive threat hunting within a rapidly evolving AI security landscape.

Security engineer focused on detection and response for AI infrastructure, including AI-specific threats like prompt injection and data poisoning. The role involves building automated response systems, leading incident response for AI infrastructure, proactive threat hunting across GPU clusters and training environments, and developing detection-as-code frameworks. It requires collaboration with AI Security research, Cloud Infrastructure, and AI researchers to protect the AI platform.

AI deployment engineer responsible for partnering with enterprise customers to identify AI use cases, architect and deliver custom AI solutions using WRITER's platform and LLMs, and drive customer adoption. This role involves translating technical concepts, providing customer feedback to product/engineering, and developing scalable processes for technical integrations.

This role focuses on deploying and implementing AI-powered solutions for enterprise customers, leveraging the company's platform and LLMs. The engineer will partner with customers to identify use cases, architect custom applications, and ensure successful adoption, acting as a bridge between customer needs and internal product/engineering teams.

Software engineer to join an engineering team building advanced AI-driven agent systems that execute autonomous workflows, orchestrate multi-step tasks, and extend human capacity across enterprise applications. The role involves designing, building, and scaling next-generation AI agents that integrate with enterprise data and services.

Software engineer focused on building and optimizing generative AI services, applications, and agentic workflows for enterprise clients, leveraging LLMs and modern AI frameworks.

AI Engineer role focused on architecting, developing, and deploying high-performance, scalable AI applications, intelligent agents, and AI-powered features for enterprise clients. The role involves collaborating with research and product teams, contributing to the evaluation of emerging AI technologies, and championing responsible AI practices. Requires 5+ years of experience in building and deploying ML/AI systems, proficiency in Python and ML frameworks, and experience with cloud platforms and MLOps.

Security engineer focused on building security foundations for AI systems, including LLM architectures, AI agents, and training data pipelines. Responsibilities include threat modeling, secure architecture design, SAST/DAST scanning, security code reviews, and integrating AI agents for security team velocity. The role requires securing customer-facing AI agents and staying ahead of AI/ML security threats.

This role focuses on deploying and implementing AI-powered solutions for enterprise customers, leveraging the company's platform and LLMs. The engineer will partner with customers to identify use cases, architect custom applications, and drive adoption, acting as a bridge between customer needs and the company's AI capabilities.

AI Deployment Engineer role focused on partnering with enterprise customers to architect and implement AI-powered solutions using WRITER's platform and LLMs. The role involves identifying use cases, delivering custom applications, translating technical concepts, and driving customer adoption to solve complex business challenges.

Solutions Architect for an enterprise generative AI platform, focusing on designing and building AI-powered work solutions for large prospects and customers. The role involves technical discovery, architecting solutions using the company's platform and APIs, leading PoCs, and advising C-suite executives on generative AI strategy.

Solutions Architect role focused on designing and implementing generative AI solutions for enterprise clients using WRITER's platform and LLMs. This involves technical discovery, building PoCs, and acting as a trusted advisor to C-suite executives, with a focus on scaling AI adoption and providing customer feedback to product teams.