AI Engineer

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We're looking for an AI Engineer to contribute to the development and delivery of AI/ML systems. This role is ideal for an early-career engineer who is comfortable writing code, eager to take on real responsibility, and ready to grow their craft. In this role, you will work as a contributing member of a cross-functional team, building and supporting AI/ML models, pipelines, and the systems around them. You'll take ownership of well-scoped tasks, learn from more senior engineers, and steadily expand the surface area you can confidently deliver on. You'll be joining real, in-flight work where reliability and quality matter. You'll collaborate closely with experienced engineers to build new capabilities, improve existing systems, and develop the technical instincts that come from shipping things that matter. Why This Role Matters At Robots Pencils, we design AI systems for a human world. Our name says it all. Robots and pencils means engineering paired with creativity, because every agent we ship has to work for real people in real workflows. That balance is baked into how we operate. Every role here contributes directly to that mission. Here, you shape how AI systems integrate into enterprise operations, how teams move at real velocity, and how products create measurable impact for clients and the people they serve. We ship production-ready AI in 30 to 45 days. That pace demands people who take ownership, lead with craft, and care deeply about what they put their name on. What You’ll Do Craft Delivery Build and ship features of AI/ML and LLM-powered systems with guidance from senior engineers, contributing to solutions that run in production Implement and maintain components of AI/ML and AI agent pipelines from data ingestion through model deployment, picking up the unglamorous parts as you grow Contribute to LLM-powered features such as prompts, evaluations, retrieval, and tool integrations, working alongside senior engineers Handle data preprocessing, feature engineering, and basic evaluation to prepare quality inputs and validate model and prompt performance Collaboration Communication Work closely with engineers across a distributed, cross-functional team to move projects forward effectively Document experiments, results, and model decisions clearly so findings can be built upon, replicated, and shared across the team Participate in code reviews and team discussions, contributing your perspective and incorporating feedback Leadership Influence Take ownership of assigned tasks and deliver end-to-end with consistency and follow-through Share learnings from experiments and research with the broader team, contributing to a culture of continuous improvement Bring intellectual curiosity to every problem — ask good questions, explore new approaches, and stay hungry to grow your craft What You’ll Bring 3+ years of professional software engineering experience, with hands-on exposure to AI/ML systems and generative AI development Solid software engineering foundation (Python or similar) Foundational knowledge of cloud platforms (AWS, GCP, or Azure), with interest in deepening AWS and AWS GenAI expertise Exposure to building or contributing to agentic AI systems alongside more senior engineers Familiarity with AI frameworks and orchestration tools Familiarity with evaluation and observability practices for LLM apps Awareness of AI safety, responsible AI principles, prompt injection risks, and PII handling Exposure to RAG pipelines: chunking strategies, embedding models, and vector databases Experience building or integrating with APIs, including internal and third-party services Awareness of LLM cost considerations such as token economics and caching strategies Working knowledge of Docker for containerized deployments, with exposure to Kubernetes Demonstrable, day-to-day usage of AI-forward coding tools such as Claude Code and Cursor Helpful Extras and Unique Skills You’ll Do Well Here if You Are A doer. You see something broken and fi

我们正在寻找一名AI工程师，为AI/ML系统的开发和交付做出贡献。这个角色非常适合一位职业生涯早期的工程师，他能够自如地编写代码，渴望承担真正的责任，并准备好精进自己的技艺。在这个角色中，你将作为跨职能团队的一名贡献成员，构建并支持AI/ML模型、流水线及其周围的系统。你将负责范围明确的任务，向更资深的工程师学习，并稳步扩大你能够自信交付的工作面。你将加入真实、正在进行中的工作，其中可靠性和质量至关重要。你将与经验丰富的工程师紧密合作，构建新能力、改进现有系统，并培养只有通过交付重要事物才能获得的技术直觉。为什么这个角色重要在Robots Pencils，我们为人类世界设计AI系统。我们的名字说明了一切。Robots and pencils意味着工程与创造力的结合，因为我们交付的每一个agent都必须服务于真实的人在真实工作流中的需求。这种平衡已融入我们的运营方式。这里的每一个角色都直接为这一使命做出贡献。在这里，你塑造AI系统如何融入企业运营、团队如何以真正的速度推进，以及产品如何为客户及其服务的人群创造可衡量的影响。我们在30到45天内交付生产就绪的AI。这样的节奏要求人们承担责任、以匠心引领，并深切关心自己署名交付的东西。你将做什么工艺交付在资深工程师的指导下，构建并交付AI/ML和LLM驱动系统的功能，为在生产中运行的解决方案做出贡献实现并维护AI/ML和AI agent流水线的组件，从数据摄取到模型部署，随着成长接手那些不那么光鲜的部分在资深工程师的协作下，为LLM驱动的功能做出贡献，如prompt、评估、检索和工具集成处理数据预处理、特征工程和基础评估，以准备高质量输入并验证模型和prompt性能协作沟通与分布式跨职能团队中的工程师紧密合作，有效推动项目前进清晰记录实验、结果和模型决策，使发现能够被继承、复现并在团队中共享参与代码评审和团队讨论，贡献你的视角并吸收反馈领导力影响对分配的任务承担责任，以一致性和贯彻到底的态度端到端交付与更广泛的团队分享实验和研究中的经验教训，为持续改进的文化做出贡献对每一个问题保持求知欲——提出好问题、探索新方法，并保持对精进技艺的渴望你将带来3年以上专业软件工程经验，并对AI/ML系统和生成式AI开发有实操接触扎实的软件工程基础（Python或类似语言）对云平台（AWS、GCP或Azure）有基础知识，并有兴趣深化AWS和AWS GenAI专业知识在更资深工程师的协作下，有构建或贡献agentic AI系统的接触经验熟悉AI框架和编排工具熟悉LLM应用的评估和可观测性实践了解AI安全、负责任AI原则、prompt注入风险和PII处理有RAG流水线的接触经验：分块策略、embedding模型和向量数据库有构建或集成API的经验，包括内部和第三方服务了解LLM成本考量，如token经济和缓存策略具备Docker用于容器化部署的实用知识，并有Kubernetes的接触经验可证明的、日常使用AI优先编码工具的经验，如Claude Code和Cursor有用的附加项和独特技能如果你是这样的人，你会在这里做得很好一个实干者。你看到某样东西坏了，就修

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