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Senior AI/Machine Learning Engineer - Python | TheLoops

IFS

地点
Stanford, CA
发布日期
2026年10月7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。

Job Description Job Description Company Description IFS is a billion-dollar revenue company with 7000+ employees on all continents. Our leading AI technology is the backbone of our award-winning enterprise software solutions, enabling our customers to be their best when it really matters–at the Moment of Service™. Our commitment to internal AI adoption has allowed us to stay at the forefront of technological advancements, ensuring our colleagues can unlock their creativity and productivity, and our solutions are always cutting-edge. About TheLoops TheLoops, an IFS company, is the first enterprise-grade AI Agent platform built for mission-critical applications and industries. Our AI Agents act as digital coworkers that are governed, secure, always learning, and working 24/7 to drive measurable business outcomes. As the company grows, it is looking for mission-driven individuals to help deliver the future of AI-powered operations. Job Description As a Senior AI/ML Engineer, you will design, develop, and deploy enterprise-scale AI systems that power intelligent agents, copilots, and autonomous workflows. You will combine strong software engineering expertise with advanced AI/ML knowledge to build scalable, production-grade solutions leveraging LLMs, agent frameworks, retrieval systems, and modern cloud platforms. In this role, you will work closely with engineering, product, and domain experts to deliver high-quality AI solutions that drive measurable business value. You will contribute to the evolution of our AI platform by building reliable, secure, observable, and scalable systems while helping establish engineering best practices and sharing technical expertise with the broader team. What You'll Do AI Platform & Systems Development Design and implement scalable AI services and platform capabilities that support intelligent agents and enterprise workflows. Build reusable SDKs, APIs, orchestration layers, and shared services that accelerate AI application development. Contribute to architectural discussions and technical design reviews. Develop solutions that meet requirements for reliability, observability, security, and scalability. Advanced Applied AI Engineering Design and implement production-grade solutions using LLMs, embeddings, RAG architectures, vector databases, memory systems, and agent orchestration frameworks. Evaluate and integrate emerging AI technologies, foundation models, and agent frameworks where appropriate. Develop prompt engineering approaches, evaluation strategies, and guardrails to improve quality, safety, and reliability. Implement evaluation frameworks and AI quality metrics to measure system performance and business outcomes. Optimize latency, accuracy, cost, and scalability of deployed AI systems. Engineering Excellence & Delivery Deliver complex AI initiatives from design through production deployment. Apply best practices for testing, CI/CD, infrastructure automation, monitoring, and operational readiness. Troubleshoot performance issues and conduct root-cause analysis across distributed AI services and integrations. Ensure solutions align with enterprise requirements for governance, compliance, and security. Collaboration & Technical Contribution Collaborate with engineers, product managers, architects, and domain experts to translate business requirements into scalable technical solutions. Provide technical guidance and share knowledge with team members. Contribute to technical documentation, design reviews, and engineering best practices. Support continuous improvement of development processes, tooling, and platform capabilities. Qualifications Required 5+ years of software engineering experience, including 2+ years building AI/ML-powered applications in production environments. Strong proficiency in Python and experience designing backend systems and APIs. Experience with LLMs, agent frameworks, RAG architectures, vector databases, embeddings, and AI orchestration platforms. Hands-on experience with technologies such as OpenAI, Azure AI, Anthropic, Hugging Face, LangChain, LangGraph, Semantic Kernel, Pinecone, Weaviate, or equivalent platforms. Solid understanding of software architecture, cloud-native development, microservices, and scalable system design. Experience building and operating production applications in cloud environments. Strong problem-solving, debugging, and performance optimization skills. Effective communication and collaboration skills. Preferred Experience building agentic AI systems, copilots, multi-agent workflows, or autonomous enterprise applications. Experience with AI evaluation frameworks, LLM observability, AI governance, and responsible AI practices. Experience with Azure, AWS, or GCP AI ecosystems. Experience integrating enterprise platforms such as ERP, CRM, ITSM, HR, Finance, or Developer ecosystems. Experience mentoring junior engineers or supporting technical onboarding. What Success Looks Like in 3-6 Months Technical Impact You are delivering high-quality AI services and features that are adopted by internal teams and customers. You consistently contribute well-designed, maintainable, and scalable solutions to the AI platform. Delivery Excellence You have successfully delivered key AI capabilities from concept through production. Your work improves system performance, reliability, scalability, and operational efficiency. AI Innovation You have deployed advanced AI capabilities that enhance user experiences and business outcomes. You have contributed evaluation, monitoring, and optimization mechanisms that improve solution quality and reliability. Team Contribution You actively collaborate across engineering and product teams. You share technical knowledge, provide guidance to teammates when needed, and contribute to a strong engineering culture. You are viewed as a trusted technical contributor who consistently delivers impactful results. Additional Information At IFS you will work in a growing, global enterprise software company where informal hierarchies promote simplicity and trust with responsibility. We strive to deepen our expertise by taking on challenging and varying work assignments in a collaborative environment together with committed colleagues. With professionalism and a strong customer focus in everything we do, from R&D to Sales and Consultancy, we are proud to serve world-class customers all over the globe with our leading products. If you want to change the status quo, we'll help you make your moment. Join Team Purple. Join IFS. What We’re Offering Salary Range: $170,000 to $185,000 plus bonus potential Flexible paid time off, including sick and holiday Medical, dental, & vision insurance 401K with Company contribution Flexible spending accounts Life insurance and disability benefits Tuition assistance Community involvement and volunteering events M/F/Disabled/Vet VEVRAA Federal Contractor. We are a Drug-Free Workplace. Interested candidates should apply at: -at-ifs All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. VEVRAA Federal Contractor, Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. VEVRAA Federal Contractor, Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. VEVRAA Federal Contractor, Equal Opportunity Employer

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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。

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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。

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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。