Zendesk

Staff Software Engineer for Zendesk's AI Copilot organization, focusing on leading the architecture and delivery of AI-powered product features. The role involves bridging product engineering and ML/science, integrating LLMs into production systems, and scaling AI capabilities for customer service agents. Requires strong software engineering background with experience in distributed systems, cloud infrastructure, and integrating ML models into production.

Senior Software Engineer to join AI Copilot organization, delivering AI-powered product features at scale. Focus on end-to-end ownership, integrating ML capabilities, building scalable backend services, and collaborating with ML Scientists and Product Management.

Senior Machine Learning Engineer to build and ship LLM-powered applications, including agent architectures and evaluation frameworks, on solid data foundations. The role involves end-to-end ownership from identifying needs to production deployment and iteration, with a focus on driving business outcomes and stakeholder collaboration.

Staff Software Engineer to join the Maquina team, focusing on building AI-powered procedures and conversational AI agents for customer experience. The role involves developing Ruby on Rails and TypeScript services, leading resolution of complex reliability problems, mentoring colleagues, and driving AI adoption. Experience with LLM integrations and enterprise-level AI feature implementation is required.

Zendesk is seeking a Senior AI Data Engineer to build and scale the data infrastructure for their AI Copilot product, which provides AI-driven features for customer service agents. The role involves designing and maintaining ELT pipelines, supporting ML Scientists and Engineers, optimizing data models, implementing cost-saving strategies, and ensuring model monitoring and evaluation.

QA Engineer focused on localization, with a strong emphasis on testing AI-driven features and LLM-generated content. The role involves implementing AI quality frameworks, validating linguistic and functional correctness across locales, optimizing vendor operations, and collaborating on internal testing tools. Requires hands-on experience testing AI features and foundational scripting knowledge.

Software Engineer II (Fullstack) to join the AI Copilot organization, a multi-million ARR product that integrates AI into customer service agent workflows. The role involves end-to-end delivery of AI-powered product features, from frontend UI to backend services, working closely with ML engineers and scientists. Emphasis on delivering features, writing clean code, and growing skills in ML and LLMs.

Senior Fullstack Engineer to join the AI Copilot organization, a product that puts AI into the hands of customer service agents and administrators. The role involves leading the design, implementation, testing, and delivery of features for both React/TypeScript UIs and Ruby backend services, focusing on bringing AI-powered solutions to customers and enabling seamless AI interactions. The team ships early and often, iterating based on customer feedback. Responsibilities include owning feature delivery end-to-end, building performant UIs and robust backend services, collaborating with PMs and ML engineers, architectural decisions, addressing technical debt, driving design system adoption, optimizing backend logic, and mentoring junior engineers. Requires 5+ years of software engineering experience with a frontend focus, adaptability to backend challenges, fluency in TypeScript/React, experience with distributed systems, RESTful APIs, event-driven architectures, cloud infrastructure (AWS), SQL, and modern frontend architecture. Preferred experience includes design systems, micro-frontends, and Storybook. The tech stack heavily utilizes LLM technology.

Staff Frontend Engineer responsible for delivering the frontend experiences of Zendesk's AI Copilot product, which integrates AI-powered capabilities for customer service agents and administrators. This role involves end-to-end feature ownership, technical leadership, and collaboration with ML Engineers and backend engineers.

Senior Software Engineer to join the Maquina team, which builds AI-powered procedures and conversational AI agents for customer experience. The role involves working across the full stack, from recommendation engines to agent-facing UI and execution runtime, integrating with a large RAG platform. The team tackles complex challenges involving multiple services, data pipelines, and ML integrations, valuing pragmatic engineering and shipping working software.