出海雷达

应用AI工程师

Applied AI Engineer

AI开发工程限定地区(需当地身份)
公司Groundswell
薪资$88,177 - $171,637/年
工作地点United States
地域资格限定地区(需当地身份)
时区要求日间重叠约 9 小时,基本正常作息
用工类型Full Time
发布时间14 天前
数据来源Himalayas
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注意地域限制:该职位明确限定在 United States 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。

我们是谁?
Groundswell 是一家领先的科技集成商和解决方案提供商,致力于解决联邦机构当前面临的最复杂挑战。我们的名字 Groundswell 代表着我们成为政府中不可阻挡、具有深远影响的变革力量的承诺。我们是一家小公司,但拥有大公司的影响力和成果。你是否准备好大胆、勇敢地以快速的步伐推动变革?加入我们,一起产生更大的影响。
你会做什么:
我们正在寻找一位工程师,能够将业务问题转化为需求和技术方案,并交付结果,包括在人工智能不是正确解决方案时做出判断。
这是一个需要亲力亲为的角色,拥有较大的自主权。你将全程负责能力的构建,涵盖发现对话、设计、开发、验证能力表现以及发布后的运营。你将走在给定方向的前面,而不是等待指示。
工作内容涉及客户交付、内部产品开发、快速原型验证和内部赋能。你需要在这些领域之间自如切换,并且在包含工程师、高管和终端用户的场合中,成为最懂人工智能的人。
这是一个新兴的领导角色。当工程师对人工智能还不熟悉时,他们会向你咨询;当客户询问下一步计划时,他们也会找你。保持对领域的最新了解是工作的一部分,而不是利用自己的时间。
职责
· 与业务和技术相关方进行需求讨论,涵盖工作流程、所支持的决策、当前可接受结果的标准,以及最初未被提及的约束条件。
· 定义技术方案并加以捍卫。根据问题选择合适的 AI 模式,如提取、分类、摘要、检索或代理流程,而不是默认选择最复杂的选项。
· 当更简单的解决方案更合适时,建议不要使用 AI。规则、流程变更和改进的界面往往是正确的答案,及早识别这一点是工作的一部分。
· 在构建之前定义可衡量的成功标准,包括准确率目标、人工审核阈值、接受条件和失败的定义。
· 构建完整的功能,而不仅仅是 AI 组件。这包括提示和检索设计、结构化输出、

查看英文原文

Who Are We?
Groundswell is a premier technology integrator and solution provider, resolutely committed to solving the most complex challenges facing federal agencies today. Our name, Groundswell, represents our commitment to be an unstoppable, seismic change in government. Ours is a small company culture with big company reach and results. Are you ready to be audacious, be bold and drive change at a rapid pace? Join us, where we’ll make a greater impact together.
What You'll do:
We are looking for an engineer who can take a business problem, define both the requirements and the technical approach, and deliver the result, including recognizing when AI is not the right solution.
This is a hands-on role with substantial autonomy. You will own capabilities end to end, covering the discovery conversation, the design, the build, the evidence that the capability performs, and its operation after release. You’ll work ahead of the direction you are given rather than waiting for it.
The work spans client delivery, internal product development, rapid proofs of concept, and internal enablement. You should be comfortable moving between them, and comfortable being the most AI-literate person in a room that includes engineers, executives, and end users.
This is an emerging leadership role. You will be the person engineers consult when they are new to AI, and the person clients ask about what is coming next. Maintaining current knowledge of the field is part of the role rather than something done on your own time.
Responsibilities
· Lead requirements conversations with business and technical stakeholders, covering the workflow, the decision being supported, the current standard for acceptable results, and the constraints that were not raised initially.
· Define the technical approach and defend it. Select the AI pattern appropriate to the problem, such as extraction, classification, summarization, retrieval, or an agentic workflow, rather than defaulting to the most sophisticated option available.
· Recommend against AI when a simpler solution is the right one. Rules, process changes, and improved interfaces are often the correct answer, and identifying that early is part of the job.
· Define measurable success criteria before building, including accuracy targets, human review thresholds, acceptance conditions, and the definition of failure.
· Build the complete capability rather than the AI components alone. This includes prompt and retrieval design, structured outputs, tool and function definitions, API integration, data handling, error states, and the user interface. Adoption usually depends on these supporting elements as much as on model performance.
· Build evaluation sets from real data and measure against them. Iterate based on results rather than intuition, and determine when a capability is ready for deployment.
· Make and defend architecture decisions within your scope, weighing quality, cost, latency, security, and authorization constraints.
· Operationalize capabilities in the client environment, including governance, logging, and traceability requirements. Monitor quality, cost, latency, and drift after launch, and optimize as better or less expensive options become available.
· Help clients understand what is possible. Anticipate needs, shape the next phase of work, and build the proof of concept that supports the case.
· Mentor engineers who are new to AI through code review, pairing, and guidance toward the appropriate pattern for a given problem.
· Maintain current knowledge of models, tooling, and techniques, and bring back what proves useful as reusable patterns for the team.
· Move between client delivery, internal product work, rapid proofs of concept, and internal enablement as the work requires.
· Produce clear documentation covering what the solution does, its known limitations, how it was validated, and what happens when it produces an incorrect result.

Required qualifications
· 4+ years building and shipping production software.
· At least 1 year of hands-on experience building applications that integrate large language models, including prompt engineering, retrieval-augmented generation, structured extraction, tool use, and agent patterns.
· Demonstrated ability to own a capability end to end, from an ambiguous requirement through to something in production that people rely on.
· Demonstrated experience evaluating AI system quality, including building test sets, defining metrics, and making deployment decisions based on evidence.
· Strong programming ability in a general-purpose language such as Python, TypeScript, or SQL, applied across the full application rather than the AI layer alone.
· Proven ability to lead requirements conversations with non-technical stakeholders and translate what you hear into a technical approach.
· Sound judgment on tradeoffs between accuracy, cost, latency, and complexity, with the ability to explain those tradeoffs to both engineers and executives.
· Excellent written communication. This role produces client-facing documentation and design rationale.
· Ability to work independently through ambiguous requirements, define an appropriate technical approach, and drive work through implementation and delivery with minimal direction.

  • Willingness to teach. Developing the capability of others is valued alongside individual delivery.
  • U.S. Citizenship required. Ability to obtain and maintain any federal government background investigation, suitability determination, or security clearance required by assigned client engagements.

Preferred qualifications
· Master’s degree in a relevant field such as Data Science, Business Analytics, Mathematics, or Computer Science.
· Experience with a low-code or application platform such as Appian, OutSystems, Mendix, Microsoft Power Platform, ServiceNow, or Salesforce.
· Public sector or regulated-industry delivery experience, including compliance and authorization processes.
· Experience with cloud AI services such as AWS Bedrock or Azure OpenAI.
· Familiarity with LLM evaluation or observability tooling.
· Prior consulting, solutions engineering, professional services, or embedded client work.
Skills:

Certification:
Why You’ll Never Want to Leave:

  • Comprehensive medical, dental, and vision plans
  • Flexible Spending Account
  • 4% 401K Match (immediate vesting)
  • Paid Time Off
  • Tuition reimbursement, certification programs, and professional development
  • Flexible work schedule
  • On-site gym and childcare option

The salary range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to skill sets, experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for any applicable geographic differential associated with the location at which the position may be filled. At Groundswell, it is not typical for an individual to be hired at or near the top of the range for their role, and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is:
$88,177.00 - $171,637.00NOTE: Groundswell does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Groundswell, and Groundswell will not be obligated to pay a placement fee.
Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws.
Read a copy of the Company’s Non-Discrimination Policy Statement.

Additional Resources:

  • EO 13496 Notification of Employee Rights under NLRA
  • Know your rights: Workplace Discrimination is Illegal

Disability Accessibility Accommodation: If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact us at or 703-639-1777.
Originally posted on Himalayas

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