资深工程师,应用AI
Staff Engineer, Applied AI
Honor Technology 的使命是改变社会照顾老年人的方式。作为老龄化护理创新的领导者,Honor 提供技术、工具和服务,使老年人能够按照自己的方式生活。Honor 不断扩展的产品组合包括其消费者护理品牌 Home Instead, Inc.,这是全球领先的为老年人提供居家护理的服务提供商。Honor 拥有全球特许经营网络和超过 10 万名 Care Pros,每年提供超过 5000 万小时的个性化护理。
Honor 和 Home Instead 正在为“居家养老”树立新的标准,这由强大的技术、富有同理心的护理以及对自主养老的承诺所支撑。
加入我们,为我们的客户、他们的家人以及我们的 Care Professionals 创造更美好、更优质的养老体验。
关于工作内容
该职位位于我们的 Applied AI 团队,负责帮助 Honor 安全且实际地将 AI 应用于我们的运营模式、产品系统和内部流程中。
Applied AI 团队的使命是帮助 Honor 成为一个学习更快、记忆更多,并能持续积累知识的组织。我们认为,在 Honor 最有价值的人工智能应用不是孤立的任务自动化,而是构建持久的组织智能:能够保留运营上下文、展示相关先前学习、支持更好决策,并帮助团队将碎片化的洞察转化为可重复的改进。
Honor 所处的行业高度依赖人际关系。最好的居家护理运营商之所以能提供个性化服务,是因为他们记得细节、理解上下文并能适应情况。在 Honor 的规模下,这需要周密设计的系统:可靠的上下文、受控的访问权限、可重用的人工智能模式、可追溯的工作流程,以及帮助人类和代理共同做出更好决策的产品体验。
作为 Applied AI 的资深工程师,你将参与设计、构建和生产化实现这些系统的基础架构。你可能会参与开发支持 AI 辅助销售跟进、运营缺陷分析、可重用的记忆与检索模式、内部代理工具、AI 驱动的数据分析、可调度的工作流程,或连接审计、产品变更和可衡量业务成果的闭环反馈系统。
你将与工程、产品、设计、数据、运营、安全和业务利益相关者紧密合作,在快速推进的同时保持生产系统所需的纪律性。
查看英文原文
Honor Technology’s mission is to change the way society cares for older adults. As a leader in aging care innovation, Honor provides the technology, tools, and services that empower older adults to live life on their own terms. Honor’s growing portfolio includes its consumer care brand, Home Instead, Inc., the world’s leading provider of in-home care for older adults. With a global franchise network and more than 100,000 Care Pros, Home Instead delivers over 50 million hours of personalized care annually.
Together, Honor and Home Instead are setting a new standard for aging in place, backed by powerful technology, compassionate care, and a commitment to aging on your own terms.
Join us to create a new and better aging experience for our clients, their families, and our Care Professionals.
About the work
This position is on our Applied AI team, which is responsible for helping Honor safely and pragmatically apply AI across our operating model, product systems, and internal workflows.
The mission of the Applied AI team is to help Honor become an organization that learns faster, remembers more, and continuously compounds what it learns over time. We believe the most valuable use of AI at Honor is not isolated task automation, but building durable organizational intelligence: systems that retain operational context, surface relevant prior learning, support better decisions, and help teams turn fragmented insights into repeatable improvements.
Honor operates in a deeply relationship-driven industry. The best home care operators personalize service because they remember the details, understand context, and adapt to the situation. At Honor’s scale, that requires thoughtful systems: reliable context, governed access, reusable AI patterns, traceable workflows, and product experiences that help humans and agents make better decisions together.
As a Staff Engineer on Applied AI, you will help design, build, and productionize the foundations that make this possible. You may work on systems that power AI-assisted sales follow-up, operational defect analysis, reusable memory and retrieval patterns, internal agentic tools, AI-powered data analysis, schedulable workflows, or closed-loop feedback systems that connect audits, product changes, and measurable business outcomes.
You will work closely with engineering, product, design, data, operations, security, and business stakeholders to move quickly while maintaining the discipline needed for production systems. This team is highly exploratory, but the work is not a lab exercise. We are looking for engineers who can turn ambiguous AI opportunities into safe, reliable, measurable product and platform capabilities.
We have an exciting runway ahead of us. As AI becomes an operational layer across Honor, we need engineers who can help create the paved roads: secure model access, compliant data pathways, observability, cost controls, evaluation patterns, human-in-the-loop workflows, and reusable architecture that allows teams across Honor to adopt AI without creating long-term fragmentation.
About you
- You thrive in a diverse, cross-functional team, collaborating with design, product management, data, operations, security, and other engineering teams.
- You are excited by ambiguous, high-leverage problems where the right answer requires both technical judgment and operational empathy.
- You enjoy building production-grade systems that connect user-facing workflows, backend services, data pipelines, and AI/LLM capabilities.
- You’ve built and maintained production-grade features in Python, or have transferable experience in common languages like Node.js and are willing to learn Python.
- You know how to design reliable data models and have used relational databases at scale.
- You have been a key contributor to the design and implementation of large, complex projects.
- You are comfortable working in and refactoring legacy, monolithic systems while also designing new services and integration patterns.
- You are a strong communicator, both verbally and in writing, and can explain technical tradeoffs to technical and non-technical audiences.
- You think carefully about quality, observability, privacy, security, and operational risk.
- You are excited to work with AI systems in a way that is pragmatic, measurable, and grounded in real business outcomes.
- You are willing to participate in an on-call rotation in collaboration with our tier 1 support team.
Some, or all, of these are true
- You have experience building LLM-powered products, AI agents, retrieval systems, memory systems, or evaluation frameworks.
- You have worked with model providers or platforms such as AWS Bedrock, OpenAI, Gemini, Anthropic, or similar systems.
- You have experience with secure data access patterns, RBAC, auditability, or compliant data workflows.
- You have built internal tools, workflow automation, or systems that support operations teams at scale.
- You are comfortable working with messy operational data and turning it into reliable product or platform capabilities.
- You have experience designing systems that involve human-in-the-loop review, feedback loops, or measurable quality improvement.
- You are knowledgeable about microservice architecture and best practices.
- You have experience working with an RPC architecture.
- You are comfortable with frontend development and have experience with JavaScript frameworks like React.
- You have experience leveraging observability and monitoring tools like DataDog.
- You enjoy mentoring and spreading knowledge to other engineers.
- You are energized by building foundations that help other teams move faster and more safely.
Tech you may use
- Python
- Thrift
- MySQL
- AWS
- AWS Bedrock
- OpenAI, Gemini, Anthropic, or similar model platforms
- JavaScript
- React
- Looker
- GitHub
- DataDog
- Internal agentic tools and workflow automation platforms
#LI-Remote
Our range reflects the hiring range for this position. We use national average to determine pay as we are a remote first company. Individual pay is based on a number of factors including qualifications, skills, experience, education, and training.
Base pay is just a part of our total rewards program. Honor offers generous equity packages that increase with position level and responsibilities, and a 401K with up to a 4% employer match.
We provide medical, dental and vision coverage including zero cost plans for employees. Short Term Disability, Long Term Disability and Life Insurance are fully employer paid with a voluntary additional Life Insurance option. We offer a generous time off program, mental health benefits, wellness program, and discount program.
Hiring Salary Range
$194,000—$220,000 USD
At Honor, we put people first. Our leadership culture is guided by Leadership Principles that prioritize integrity, compassion, and excellence. We offer a unique opportunity to lead with purpose and make a meaningful impact no matter your role.
Honor is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information, political affiliation or belief.