技术职员（模型行为）
Member of Technical Staff (Model Behavior)
职位描述
我们正在为Model Behavior团队招聘软件工程师，以帮助塑造Perplexity AI产品的行为方式：响应的风格以及它们使用工具、技能和记忆的方式。该团队设计提示和上下文工程策略，以在多个领域和模型中提供高质量的用户体验。
理想的候选人具备扎实的软件工程背景，并采用分析性和实验驱动的方法来解决复杂问题。您将从事上下文和提示工程工作，以塑造模型的行为和风格，并指导模型在我们产品中使用工具、技能和记忆的方式。
职责内容
- 上下文工程：设计、测试和优化塑造Perplexity响应的提示、技能、工具和记忆，涵盖产品、功能和使用场景。构建自我改进循环，引导提示，提高工具/技能使用效率，并提升记忆调用能力。
- 模型发布：协助进行新模型的实验和发布。
- 研究与分析：通过精心设计的研究项目，识别模型输出中的不一致性和故障模式，适用于内部和生产系统。
- 知识分享：帮助各团队工程师建立对提示设计和上下文工程最佳实践的理解。
- 跟进最新动态：跟踪行业和学术界的最新提示、上下文工程和对齐技术，并将最佳想法带回团队。
我们寻找的人选
要求
- 2至10年以上软件工程或研究经验。
- 扎实的软件工程基础，对LLM驱动和代理系统有技术理解。
- 有通过提示、工具和技能设计或记忆系统塑造LLM行为的经验。
- 强大的书面和口头沟通能力，尤其擅长向不同利益相关者解释复杂概念。
加分项
- 近期有在现代LLM驱动产品上工作的经验。
- 有跨团队或与外部合作伙伴合作的经验。
- 有设计AI系统评估或基准测试的经验。
查看英文原文
ABOUT THE ROLE
We're hiring software engineers for the Model Behavior team to help shape how Perplexity’s AI products behave: the style of their responses, and the way they use tools, skills, and memory. The team designs prompt and context engineering strategies to deliver high-quality user experiences across multiple domains and models.
The ideal candidate for this role has a strong software engineering background, and an analytical, experiment-driven approach to solving challenging problems. You’ll work on context and prompt engineering to shape model behavior and style, and to guide how models use tools, skills, and memory across our products.
WHAT YOU'LL DO
- Context Engineering: Design, test, and optimize the prompts, skills, tools, and memory that shape Perplexity responses across products, features, and use cases. Build self-improvement loops to steer the prompt, improve tool/skill use, and improve the ability to draw on memory.
- Model Releases: Help experiment with and release new models.
- Research & Analysis: Identify inconsistencies and failure modes in model outputs through well-designed research projects, for both internal and production systems.
- Knowledge Sharing: Help engineers across teams build intuition for prompt design and context engineering best practices.
- Staying Current: Track the latest prompting, context engineering, and alignment techniques from industry and academia, and bring the best ideas back to the team.
WHAT WE'RE LOOKING FOR
REQUIRED
- 2 to 10+ years of experience in software engineering or research.
- Strong background in software engineering fundamentals, and a technical understanding of LLM-driven and agentic systems.
- Experience shaping LLM behavior through prompts, tool and skill design, or memory systems.
- Strong written and verbal communication skills, particularly in explaining complex concepts to diverse stakeholders.
NICE TO HAVE
- Recent experience working on modern LLM-driven products.
- Experience working across teams or with external partners.
- Experience designing evaluations or benchmarks for AI systems.