寻找你的下一个职业机会

按职位、技能和地点搜索招聘信息。准备申请前,先仔细了解职位要求。

找到一个吸引人的职位名称只是求职的起点。请将工作职责、招聘要求和工作条件与你的实际经历进行比较。本指南帮助你筛选机会、准备有针对性的申请材料,并确认每份申请应该在哪里提交。

此界面为简体中文。雇主发布的职位名称和描述保留原文,可能为英文。

清除筛选

搜索结果: 13,614

← 返回搜索结果

Staff Software Engineer, AI

Basis

远程工作

地点
Remote (United States)
薪资
USD 136908-185000 per annual
工作安排
Full Time
发布日期
2026年10月16日

申请前,请在雇主网站确认职位仍在招聘,并检查完整要求和条件。

职位描述

此界面为简体中文。雇主发布的职位名称和描述保留原文,可能为英文。

WHO WE ARE At Basis, we empower agencies and brands with cutting-edge software that automates digital media operations. Our all-in-one platform supports seamless planning, reporting, and financial reconciliation across direct, programmatic, search, and social media. We’re not just building advanced technology; we’re also building a culture where passionate, motivated individuals come together to drive meaningful change. Our commitment to inclusivity and growth ensures our employees thrive both professionally and personally. With our headquarters in Chicago, we offer flexible work options across the U.S. and Canada, including remote, hybrid, or on-site at headquarters. ABOUT THE TEAM Technology is at the core of what we do. The AI Core team at Basis Technologies builds Compass, the AI agent platform behind Basis. Compass agents plan and execute media planning, buying, and operations work on behalf of agencies and brands. We build the orchestration, tooling, and evaluation infrastructure that lets LLM-powered agents work reliably in a complex ad tech domain, and we expose the Basis platform to our own and our customers’ agents through MCP and A2A. The AI Core team also functions as an enabling team for all of Basis Engineering, developing the patterns and best practices for agentic and AI-assisted development that other teams build on. WAYS YOU’LL CONTRIBUTE As a Staff AI Engineer, you will be the technical lead for the AI Core team, specializing in the architecture and development of our agentic platform. Other ways you will contribute: WHAT YOU BRING TO THE TABLE Minimum of 8 years of professional software engineering experience, including recent experience shipping production LLM-powered applications or agent systems. A track record of technical leadership, including owning the technical direction of a team or major system and influencing architecture beyond your immediate area of ownership. Expert-level proficiency in Python, with a history of architecting production APIs and backend services and integrating with protocols such as MCP and A2A. Deep experience building and operating production-grade agentic systems with frameworks such as Strands, LangChain, or the Claude Agent SDK, including asynchronous and event-driven patterns, prompt engineering, structured outputs, and techniques for improving agent reliability. Sound judgment on when to optimize for speed and when to invest in quality. Experience with evaluation and observability tools such as Langfuse or LangSmith, including designing evaluation strategies from the ground up. Fluency with AI coding tools (Claude Code, Cursor, Codex, etc.) as a core part of the development workflow, paired with strong judgment and full ownership of AI-generated output. Proven ability to mentor engineers and to explain complex agentic systems clearly to engineers, Product and Operations partners, and non-technical stakeholders. Thoughtful approach to collaboration, design, and decision-making that prioritizes equity, access, and continuous learning, and a commitment to creating inclusive, respectful environments where all voices are valued and supported. BONUS POINTS Bachelor’s or advanced degree in Computer Science, Engineering, or a related field Prior experience in ad tech, media planning systems, or programmatic advertising platforms. Hands-on experience with AWS Bedrock, including Bedrock AgentCore (Runtime, Gateway, Identity). Experience designing MCP tool sets or skills libraries adopted by multiple teams or external partners. Experience with authentication and authorization for non-human actors, such as OAuth 2.0 flows for agents and token vaulting for third-party integrations. Experience with RAG systems, vector databases, or knowledge retrieval approaches. OUR TECH STACK Languages: Python Frameworks: LangChain, LangGraph, FastMCP, FastAPI Protocols & Integrations: MCP, A2A, AG-UI, REST APIs Evaluation & Observability: Langfuse, custom evaluation frameworks Data: Snowflake, S3 Infrastructure: AWS, AWS Bedrock (including Bedrock AgentCore) Integrity in Hiring At Basis, integrity is at the core of how we hire. To protect our candidates and our company, we verify identity, education, and employment history for all hires. Some roles may also require onsite or in-person interviews as part of the process. Any misrepresentation of identity, experience, or skills may result in removal from the hiring process or termination of employment. We value transparency and authenticity and expect the same from every applicant. Anything Else? Don’t have every skill listed? No problem! We know experience can be built in many ways. If you have relevant skills that aren't reflected in your resume, we encourage you to share them in an optional cover letter. Life With Basis We’re committed to our people’s growth and well-being because our success is tied to theirs. That’s why we’ve earned recognition as a top workplace, including: Ad Age, #1 Best Places to Work, WorkLife's #1 Most Committed to Work Life Balance, and the Chicago Tribune's Top Workplaces in Chicago. We offer competitive perks, including a flexible work week, 401k/RRSP matching, mental health support, paid sabbaticals, generous parental leave, flexible work options, and more. Basis is proud to be an equal-opportunity employer. We celebrate all team members regardless of gender identity, sexual orientation, race or cultural background, religion, disability, age, and beyond. If you need assistance with interview accessibility, please contact @basis.com. Your privacy is important to us, view our policy here. Originally posted on Himalayas

查找职位、比较要求,再准备申请

从你希望从事的职位或运用的技能开始搜索。调整地点和职业筛选,打开职位比较工作职责。如果没有结果,可以使用更短的关键词,或逐一移除筛选条件。

区分必备要求和优先条件,检查已列出的工作安排、薪资和地点。远程职位也可能要求特定居住国家、工作许可或工作时间重合。请向雇主确认职位信息和完整条件。

选择能够回应职位要求的真实经历,说明你的贡献,只使用能够证实的数字。遵循雇主的申请说明,并在提交前检查联系方式、文档内容和 PDF。

提交申请前的检查清单

求职常见问题

为什么有些职位使用英文?

职位名称和描述由招聘企业撰写。为避免改变招聘要求或工作条件,我们保留原文。操作界面和本指南使用简体中文。如果中文搜索没有结果,可以尝试使用职位发布语言中的名称或技能,例如“software engineer”。搜索词不会自动翻译,界面语言也不代表企业要求的申请语言。

远程职位是否允许从任何国家工作?

不一定。企业可能对居住国家、工作许可或工作时段有要求。请查看原始招聘页面中的具体条件。如果未说明,应先向企业确认,再判断能否从你所在的地区工作。“远程”标签本身并不代表没有地点限制。

搜索没有结果时应该怎么办?

尝试更通用的职位名称或单个技能,并逐一移除筛选条件。不同企业可能用不同名称描述相似工作。如果某个职位已经消失,请在企业招聘页面搜索其职位编号。扩大搜索范围不会让已经关闭的职位重新开放。

申请会通过 ResumizeAI 直接提交吗?

申请按钮会打开外部网站。请按照企业或招聘服务的说明,在该网站完成并确认提交。在 ResumizeAI 中准备简历并不等于已经申请职位。如果链接只打开企业网站,请先找到对应职位,再继续申请流程。

如何针对职位调整简历和求职信?

将招聘要求与能够解释清楚的项目、任务和成果联系起来。突出相关经历,不要添加未经实际掌握的技能或虚构成绩。在求职信中用具体例子说明申请动机,并遵守企业要求的语言和文件格式。提交前检查两份文件,确保内容准确、联系方式正确、链接可用。