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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.

Software engineer role focused on building and scaling advanced AI-driven agent systems that execute autonomous workflows and orchestrate multi-step tasks for enterprise applications. Requires experience with agent frameworks, vector databases, and cloud platforms.

AI Engineer role focused on building and deploying scalable AI applications, intelligent agents, and AI-powered features for enterprise customers. The role involves collaborating with research and product teams, contributing to the evaluation of new AI technologies, and championing responsible AI practices. Requires 5+ years of experience in building and deploying ML/AI systems in production, proficiency in Python and ML frameworks, strong ML/DL/NLP foundations, and cloud/MLOps experience.

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.

Senior Software Engineer to build the secure, scalable foundation for enterprise generative AI solutions, focusing on integrating AI models and agentic workflows into their platform. The role involves designing and owning core platform components, developing secure generative AI services, and optimizing high-performance APIs for AI integration.

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.

AI deployment engineer responsible for partnering with enterprise customers to identify AI use cases, architect and deliver custom solutions using WRITER's platform and LLMs, and drive customer adoption. Focuses on translating complex needs into tangible applications and providing customer feedback to influence product roadmap.

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.

Software engineer focused on building and deploying generative AI services and applications, including agentic workflows and LLM integrations, for enterprise clients. The role involves developing scalable APIs, optimizing performance, and collaborating across teams to deliver AI solutions.

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.

Security engineer focused on securing enterprise AI platforms, including LLM architectures, AI agents, training data pipelines, and customer-facing AI agents. Responsibilities include threat modeling, SAST/DAST scanning, security code reviews, secure coding standards, penetration testing, and designing security controls for AI infrastructure. The role emphasizes integrating AI agents to improve security team velocity and staying ahead of emerging 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.

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.

Security engineer focused on protecting enterprise AI platforms, including LLM architectures, AI agents, training data pipelines, and inference services. Responsibilities include threat modeling, security code reviews, building automated security controls, and leading security assessments. The role emphasizes integrating security into the development lifecycle and leveraging AI agents for security team velocity.