Senior AI Engineer
在剑,我们正在建立人工智能以治愈数十亿人并释放人类的全部潜力。这样做,我们是先驱的人工智能护理,这是一个为医疗推理,安全和实时治疗而构建的基本新方法,而不是在现实之后应用的通用技术。作为临床中心的边界 AI 实验室和应用 AI 平台,剑将重新想象如何提供规模上的护理,消除约会,等待室和耻辱等传统障碍,以便更多的人能够获得他们需要的护理最终回到生活中。自2020年以来,剑士已经扩大了身体疗法,妇女健康,心脏代谢和心理健康领域,现在正在超越会议,进入一个完全人工智能原生的24小时/七天护理计划,将体育活动,治疗运动,心理学疗法,营养和行为变化变成了一个连接的经验。三大洲超过700,000名成员完成了1000多万次人工智能会议,帮助1,000+企业客户避免超过10亿美元的不必要的医疗成本。支持42项临床研究,44多项专利和来自包括霍斯拉风险投资公司,通用催化剂公司和创始人基金在内的领先投资者筹集的50000万美元,剑将制定医疗保健新标准。剑 AI 技能是剑 AI 流程的一个核心期望。每个候选人都根据我们的三级框架进行评估。预期的水平将根据角色的资深程度而异。作用:内部 AI 解决方案团队通过生成人工智能领导公司内部流程的转型,改善了团队在整个组织中的运作方式。我们与业务团队密切合作了解实际的工作如何完成,确定简化和重新设计过程的机会,并构建可测量运营影响的人工智能驱动解决方案。我们是一个小,高度自主化的团队,工作风格类似于早期阶段公司。对于那些积极,务实和舒适的人来说,我们非常重视从理解一个商业问题到设计和实施解决方案。
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At Sword, we’re building AI to heal billions and unlock humanity’s full potential. In doing so, we’re pioneering AI Care, a fundamentally new approach to healthcare built for medical reasoning, safety, and real-time treatment, not generic technology applied after the fact. As both a clinical-centric frontier AI lab and an applied AI platform, Sword is reimagining how care is delivered at scale, removing traditional barriers like appointments, waiting rooms, and stigma so more people can access the care they need—and ultimately get back to lives lived in full.
Since 2020, Sword has expanded across physical therapy, women’s health, cardiometabolic, and mental health, and is now moving beyond the session to a fully AI-native, 24/7 care program that brings physical activity, therapeutic exercise, psychotherapy, nutrition, and behavior change into one connected experience. More than 700,000 members across three continents have completed over 10 million AI sessions, helping 1,000+ enterprise clients avoid more than $1 billion in unnecessary healthcare costs. Backed by 42 clinical studies, 44+ patents, and more than $500 million raised from leading investors including Khosla Ventures, General Catalyst, and Founders Fund, Sword is defining a new standard for healthcare.
AI Proficiency at Sword
AI fluency is a core expectation at Sword. Every candidate is assessed against our three-level framework — be ready to share real examples of how AI is already part of how you work.
- Explorer (Level 1) — Uses AI daily to boost personal productivity
- Builder (Level 2) — Creates workflows and tools that elevate the whole team
- Integrator (Level 3) — Embeds AI into products and processes at scale
Every hire must demonstrate at least Level 1. The expected level will vary depending on the seniority of the role.
Role:
The Internal AI Solutions Team leads the transformation of the company’s internal processes through Generative AI, improving how teams operate across the organization.
We work closely with business teams to understand how work actually gets done, identify opportunities to simplify and redesign processes, and build AI powered solutions that create measurable operational impact.
We’re a small, highly autonomous team with a working style similar to an early stage company. Roles are highly generalist, and we value people who are proactive, pragmatic, and comfortable moving from understanding a business problem to designing and implementing the solution.
For this role, you will work particularly closely with the Operations team, helping identify and solve both complex and repetitive operational challenges through process improvement, automation, and AI.
What you’ll be doing:
- Working closely with business stakeholders to deeply understand existing workflows, pain points, bottlenecks, and manual processes;
- Proactively identifying opportunities to simplify, standardize, automate, or redesign processes, rather than only responding to predefined technical requirements;
- Translating operational problems into pragmatic AI powered tools, automations, and software solutions;
- Owning solutions end-to-end, from process discovery and solution design through implementation, deployment, adoption, and iteration;
- Building and integrating AI-driven applications using LLMs, APIs, internal systems, and workflow automation;
- Handling both front-end and back-end development when needed, ensuring seamless integration across our tech stack;
- Measuring the impact of implemented solutions and continuously improving them based on user feedback, operational metrics, and observed outcomes.
What you need to have:
- At least 3 years of experience in software engineering, automation, AI engineering, or a similarly technical role;
- Strong hands-on proficiency in JavaScript (React, Node.js) and/or Python;
- Experience building practical software solutions and integrating multiple systems through APIs;
- Hands-on experience with LLM APIs such as OpenAI, Anthropic, or equivalent models;
- Proficiency in SQL and confidence working with data to understand processes and measure outcomes;
- A strong continuous improvement mindset, with the ability to analyze how a process works today and identify ways to make it simpler, faster, more reliable, or more scalable;
- Experience working directly with business or operational stakeholders to turn ambiguous problems into concrete solutions;
- Strong analytical and problem solving skills, particularly in environments where the problem is not fully defined upfront;
- High levels of ownership and autonomy, with a bias toward experimentation and execution;
- Strong communication skills and the ability to collaborate effectively across technical and non technical teams.
What we would love to see:
- Experience with Lean, Kaizen, continuous improvement, process engineering, or operational excellence methodologies;
- Experience automating operational workflows or transforming manual business processes;
- Familiarity with Retrieval-Augmented Generation (RAG) pipelines and integrating structured and unstructured data into LLM workflows;
- Practical experience building or orchestrating AI agents;
- Experience with workflow automation platforms or agentic systems;
- Familiarity with cloud services such as AWS, Azure, or Google Cloud;
- Understanding of AI governance principles.
*The range below reflects base, variable, and equity for this role.
This is a starting point, not a ceiling — once someone joins and proves they're outlier talent, we adjust quickly to make sure their compensation matches their impact.
Job titles may span more than one career level, so actual pay depends on skills, qualifications, experience, location, and market demand, among other factors. The range reflects base salary plus any variable, bonus, or sales incentives, and our estimate of the value of private company stock options where applicable. It's subject to change, and future stock value isn't guaranteed. Sword also offers additional benefits beyond total compensation.
Total Compensation Range
€50.400—€72.000 EUR
Country-specific benefits may vary and will be detailed separately.
Sword Health complies with applicable Federal and State civil rights laws and does not discriminate on the basis of Age, Ancestry, Color, Citizenship, Gender, Gender expression, Gender identity, Gender information, Marital status, Medical condition, National origin, Physical or mental disability, Pregnancy, Race, Religion, Caste, Sexual orientation, and Veteran status.
Originally posted on Himalayas