软件开发工程师负责人 - AI
Lead Software Development Engineer in Test - AI
关于HighLevel：
HighLevel是一个由人工智能驱动的企业操作系统，为代理商、企业家和中小企业提供构建、自动化和扩展的基础设施。目前，HighLevel支持全球150多个国家的中小企业，推动以真实客户成果为基础的社区驱动型增长。
到目前为止，使用HighLevel运营的企业已产生超过70亿美元的生态系统价值，证明了规模化共享基础设施的影响。通过将对话、自动化和智能集中到一个系统中，我们帮助企业更快地行动，减少复杂性并高效执行。
在平台背后，HighLevel每天处理超过40亿次API调用和250亿条消息事件。拥有250TB的分布式数据、250多个微服务以及超过100万个域名支持，我们的架构专为性能、弹性和长期可扩展性而设计。
我们的团队
HighLevel在全球10多个国家拥有超过2000名员工，是一家以速度和所有权为核心的全球化远程优先组织。我们重视主动性、清晰度和执行力，为有抱负的人士创造空间，构建支持数百万企业的系统。在这里，创新蓬勃发展，想法受到庆祝，无论人们来自哪里，人才始终是第一位的。
我们的影响
每个月，HighLevel为超过100万家企业提供超过15亿条消息、2亿个潜在客户和2000万次对话。这些数字背后是真实的人们在建立独立性、拓展机会和创造可衡量的影响。我们为此感到自豪。
了解更多关于我们信息，请访问我们的YouTube频道或博客文章。
职位描述：
我们正在寻找一位具有AI工具和模型测试深厚专业知识的高级软件开发工程师（测试）。该职位需要能够制定整体质量保证策略、构建自动化框架，并推动我们AI产品的全组织质量计划。您将负责AI垂直领域的质量章程，影响跨职能团队，并在塑造AI质量路线图中发挥关键作用。
要求：
- 7年以上QA/SDET相关经验
- 在AI工具和模型测试方面有深入的专业知识，负责设计适用于RAG、幻觉、漂移和偏见的可扩展测试方法
- 有构建大规模、可重用、跨平台自动化框架的实战经验
- 具备强大的领导能力，能够指导和提升整个团队，制定最佳实践，并建立一支高效的团队
查看英文原文
About HighLevel:
HighLevel is an AI-powered business operating system that gives agencies, entrepreneurs and SMBs the infrastructure to build, automate and scale. Today, HighLevel supports SMBs across 150+ countries, fueling community-driven growth rooted in real customer outcomes.
To date, businesses operating on HighLevel have generated over $7 billion in ecosystem value, demonstrating the impact of shared infrastructure at scale. By centralizing conversations, automation and intelligence into one system, we help businesses move faster, reduce complexity and execute efficiently.
Behind the platform, HighLevel powers more than 4 billion API hits and 2.5 billion message events daily. With 250 terabytes of distributed data, 250+ microservices and over 1 million domain names supported, our architecture is built for performance, resilience and long-term scalability.
Our People
With over 2,000 team members across 10+ countries, HighLevel operates as a global, remote-first organization built for speed and ownership. We value initiative, clarity and execution, creating space for ambitious people to build systems that support millions of businesses worldwide. Here, innovation thrives, ideas are celebrated and people come first, no matter where they call home.
Our Impact
Every month, HighLevel enables more than 1.5 billion messages, 200 million leads and 20 million conversations for the more than 1 million businesses we support. Behind those numbers are real people building independence, expanding opportunity and creating measurable impact. We’re proud to be a part of that.
Learn more about us on our YouTube Channel or Blog Posts.
About the Role:
We are looking for a Lead Software Development Engineer in Test with deep expertise in AI tools and model testing. This role requires an individual who can define overall QA strategy, architect automation frameworks, and drive organisation-wide quality initiatives for our AI products. You will own the quality charter for the AI vertical, influence cross-functional teams, and play a key role in shaping the AI quality roadmap.
Requirements:
- 7+ years of overall experience in QA/SDET roles
- Deep expertise in AI tools & model testing, responsible for designing scalable test approaches for RAG, hallucination, drift, and bias
- Proven experience in architecting large-scale, reusable, cross-platform automation frameworks
- Strong leadership skills to coach and upskill an entire team, set best practices, and build a talent pipeline
- Ability to influence cross-functional teams and participate in architecture discussions
- Strong problem-solving skills with the ability to own decisions on test strategy, tools, frameworks, and AI testing methodologies
Responsibilities:
- Define overall QA strategy and architect large-scale, reusable, cross-platform automation frameworks
- Drive organization-wide quality initiatives and own the quality charter for the AI vertical
- Possess deep expertise in AI tools & model testing, responsible for designing scalable test approaches for RAG, hallucination, drift, and bias
- Own decisions on test strategy, tools, frameworks, and AI testing methodologies
- Coach and upskill the entire team, set best practices, and build talent pipeline
- Influence cross-functional teams, participate in architecture discussions, and align testing with business strategy
- Responsible for end-to-end quality strategy at the product/vertical level
- Shape AI quality roadmap, reduce organization-wide risk, and improve scalability and reliability
Bonus Points:
- Experience with CI/CD pipelines and cloud platforms (AWS/GCP/Azure).
- Familiarity with MLOps pipelines and monitoring AI systems.
- Exposure to performance and scalability testing of AI workloads.
EEO Statement:
The company is an Equal Opportunity Employer. As an employer subject to affirmative action regulations, we invite you to voluntarily provide the following demographic information. This information is used solely for compliance with government recordkeeping, reporting, and other legal requirements. Providing this information is voluntary and refusal to do so will not affect your application status. This data will be kept separate from your application and will not be used in the hiring decision.
We encourage you to review our Privacy Policy before submitting your application
Originally posted on Himalayas