远程工作雷达

AI工程师(远程)

AI Engineer (Remote)

AI开发工程市场运营限定地区(需当地身份)
公司M3USA
薪资未公开
工作地点Fort Washington, PA, United States
地域资格限定地区(需当地身份)
时区要求无特别要求
用工类型Full-time
发布时间2026-08-13
数据来源SmartRecruiters
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注意地域限制:该职位明确限定在 us 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

M3 USA 是医疗健康创新的前沿,为医疗保健、生命科学、制药等多个领域提供数字解决方案。自2000年成立以来,我们实现了显著增长,这得益于我们利用互联网打造更健康的全球和更高效的医疗体系的使命。
我们的成功建立在值得信赖的数字平台之上,这些平台在全球范围内与医生群体互动,促进有影响力的医学教育、精准的职业安置和深入的市场研究。M3 USA 以充满活力和创新的工作环境而自豪,每位团队成员都为全球医疗进步做出贡献。
加入 M3 USA 意味着成为一支致力于在医疗领域产生重大影响的团队的一员。我们为您提供一个独特的机会,站在医疗健康创新的最前沿,开启一段有意义的职业生涯。与 M3 USA 一起,把握推动变革的机会。
由于持续增长,我们现在正在招聘一名 AI 工程师。

AI 工程师将构建由人工智能驱动的系统,自动化并改进 M3 USA 医疗健康业务的工作流程。主要客户是非技术性的业务团队。您将与他们紧密合作,了解他们的流程和痛点,然后设计并实现提高他们效率的解决方案。
该职位的核心是代理编码:使用 AI 编码代理(Claude Code、OpenAI Codex、OpenCode 或类似工具)以比传统方法快一个数量级的速度构建软件。您应是该领域的专家,已经通过这种方式交付过实际应用,而不仅仅是尝试过这些工具。您应具备扎实的工程基础,并能够批判性地审查和改进 AI 生成的计划,仔细考虑技术框架和架构,以促进有效的 AI 驱动开发。您可以灵活适应新工具,并创造性地应用它们来创建新产品和服务,解决业务问题。
作为中央服务岗位,您将在 M3 USA 的多个子公司工作,包括 Wake Research、PracticeMatch、The Medicus Firm 等。
该职位向 CTO(Brian Hooper)汇报。
核心职责和任务:
代理开发与自动化:
· 使用 AI 编码代理(Claude Code、OpenAI Codex、OpenCode 或类似工具)快速构建和迭代生产应用程序。您应该能够在几天或几小时内构建全栈应用,而不是数周。
· 自动化业务流程

查看英文原文

M3 USA is at the forefront of healthcare innovation, offering digital solutions across healthcare, life sciences, pharmaceuticals, and more. Since our inception in 2000, we’ve seen remarkable growth, fueled by our mission to utilize the internet for a healthier world and more efficient healthcare systems.
Our success is anchored in our trusted digital platforms that engage physician communities globally, facilitating impactful medical education, precise job placement, and insightful market research. M3 USA prides itself on a dynamic and innovative work environment where every team member contributes to global health advancements.
Joining M3 USA means being part of a dedicated team striving to make a significant difference in healthcare. We provide a unique opportunity for you to be at the cutting edge of healthcare innovation, shaping the future in a meaningful career. Embrace the chance to drive change with M3 USA.
Due to our continued growth, we are hiring for an AI Engineer.

The AI Engineer will build AI-powered systems that automate and improve workflows for M3 USA’s healthcare businesses. The primary customers are non-technical business teams. You will work closely with them to understand their processes and pain points, then design and implement solutions that make them more effective.
This role is centered on agentic coding: using AI coding agents (Claude Code, OpenAI Codex, OpenCode, or similar) to build software an order of magnitude more rapidly than traditional methods. You should be an expert practitioner who has shipped real applications this way, not just experimented with the tools. You should have solid engineering fundamentals and the ability to critically review and improve on AI-generated plans and thoughtfully consider technology frameworks and architectures to facilitate effective AI-enabled development. You can flexibly adapt to new tools and apply them creatively to create new products and services and solve business problems.
As a Central Services position, you will work across M3 USA subsidiaries including Wake Research, PracticeMatch, The Medicus Firm, and others.
This position will report to the CTO (Brian Hooper).
Essential Duties and Responsibilities:
Agentic Development & Automation:
· Use AI coding agents (Claude Code, OpenAI Codex, OpenCode, or similar) to rapidly build and iterate on production applications. You should be comfortable building full-stack applications in days or hours, not weeks.
· Automate business workflows and processes by building custom tools, scripts, and integrations that reduce manual work.
· Stay current with the latest agentic coding techniques, tools, and best practices. Evaluate emerging capabilities and share informed opinions on what works in production.
AI Solutions Development:
· Develop LLM-based applications including document processing, intelligent assistants, and data extraction workflows.
· Create proof-of-concepts to demonstrate feasibility and business value of AI initiatives.
· Deploy AI applications to production and support real end users. Monitor usage, gather feedback, and iterate.
Requirements & Stakeholder Communication:
· Translate business needs into technical requirements by observing how people actually work, not just what they ask for.
· Communicate progress and tradeoffs clearly to non-technical stakeholders.
Operations & Governance:
· Ensure AI solutions meet security, privacy, and compliance requirements, which is particularly important given healthcare data.
· Monitor and maintain deployed solutions; iterate based on user feedback.
· Manage costs and provide input on AI tools and platform selection.

Required:
· Bachelor's degree in computer science or related field OR equivalent work experience
Knowledge, Skills, Abilities:
· Demonstrated agentic coding expertise: Extensive hands-on experience using Claude Code, OpenAI Codex, OpenCode, or similar AI coding agents. You should have built multiple applications this way and be able to discuss specific techniques, workflows, and tradeoffs.
· Portfolio of AI-developed projects: Tangible examples of applications you’ve built using agentic coding. We want to see GitHub repos, deployed demos, or production systems that show your ability to ship with AI assistance.
· Production deployment experience: You have deployed AI-powered applications that are used by real end users (not just prototypes). You understand the operational challenges of maintaining AI systems in production.
· Workflow automation experience: Track record of automating manual processes, whether through custom scripts, integrations, or low-code platforms.
· Technical foundations: Python, TypeScript, web application development, SQL and databases, LLM APIs (Claude, OpenAI), prompt engineering, context engineering, REST APIs. Experience with cloud infrastructure (AWS, GCP, or Azure). Comfortable learning new languages and frameworks quickly with AI assistance.
· AI fundamentals: Understanding of underlying AI technologies including transformers, neural networks, agentic loops, and context, among other topics. You should be able to reason about model capabilities and limitations based on architectural understanding.
· Agentic systems experience: Hands-on experience building agentic workflows, multi-agent systems, or AI assistants with tool use. Understanding of when to use agentic patterns versus simpler approaches.

Benefits:
A career opportunity with M3 USA offers competitive wages, and benefits such as:
· Health and Dental
· Life, Accident and Disability Insurance
· Prescription Plan
· Flexible Spending Account
· 401k Plan and Match
· Paid Holidays and Vacation
· Sick Days and Personal Day
*M3 reserves the right to change this job description to meet the business needs of the organization
M3 USA is an equal opportunity employer, committed to the principles of inclusion and diversity for all employees and to providing employees with a work environment free of discrimination and harassment.
All employment decisions at M3 USA are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical or mental disability, medical history or genetic information, sexual orientation, gender identity and/or expression, marital status, past or present military service, family or parental status, or any other status protected by the federal, state or local laws or regulations in the locations where we operate.
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