机器学习工程师，检索与基础生成
ML Engineer, Retrieval & Grounded Generation
DEFCON AI 介绍
在面对颠覆时的韧性。DEFCON AI 是一家洞察公司，利用人工智能、数学优化、数据分析和软件工程，对复杂系统进行弹性优化。
在当今不断变化的世界中，DEFCON AI 的技术使结果与运营目标一致，提升决策质量，并使客户能够预见、评估和减轻颠覆的影响。
**职位简介**
你将加入一个真正重要的系统背后的分析和 AI 工程团队：一个 AI 辅助平台，从几十个外部数据源收集记录，将其解析到正确的人，突出人类审核员应首先查看的内容，并以清晰、可辩护的方式解释每一条建议——运行在安全的政府云环境中。这是一个细节决定成败的问题，这正是它值得做好它的原因。
作为机器学习工程师，检索与基于事实的生成，你将构建大规模的嵌入、向量存储和检索，并集成语言模型，使得每一段生成的文本都与引用的来源记录绑定，对引用失败进行测试而不是假设其不存在。你还将负责提示词和输出模式的设计；模型打包、版本控制、服务和回滚；以及遥测钩子，使后续测量成为可能而无需手动重建——这是为真实生产系统打造的真实基础设施，而非演示系统。
这是一个完全远程的职位，根据需要偶尔前往 DEFCON AI 总部、客户现场和供应商设施。
**主要职责**
- 在一个大型、可追溯证据库上实现嵌入、向量存储和检索
- 集成语言模型，使生成的文本与引用的来源记录绑定；对引用失败进行测试而不是假设其不存在
- 设计提示词和输出模式
- 负责模型打包、版本控制、服务和回滚
- 为检索和生成质量、推荐/版本归属、覆盖、回避、基于事实的失败、延迟、吞吐量和与 Model Test 定义的测量事件配置遥测
- 为困难的叙事提取提供有限的模型辅助，当确定性处理不足时，每个输出都与其来源段落相关联
- 为每个模型辅助步骤提供记录的规则上下文，使每个输出都携带确切的规则版本和顺序
查看英文原文
ABOUT DEFCON AI
RESILIENCE IN THE FACE OF DISRUPTION. DEFCON AI is an insights company that leverages artificial intelligence, mathematical optimization, data analytics, and software engineering for resilient optimization of complex systems.
In today’s dynamically changing world, DEFCON AI’s technology aligns outcomes with operational goals, better decision making, and empowers customers to anticipate assess, and mitigate the impacts of disruptions.
**About the Role**
You'll join the analytics and AI engineering team behind a system that genuinely matters: an AI-assisted platform that pulls together records from dozens of external feeds, resolves them to the right person, surfaces what a human reviewer should look at first, and explains every recommendation in plain, defensible terms — running inside a secure government cloud environment. It's the kind of problem where the details you get right are the ones that count, which is exactly what makes it worth doing well.
As ML Engineer, Retrieval & Grounded Generation, you'll build embeddings, vector storage, and retrieval at scale, and integrate language models so that every piece of generated text is bound to cited source records and citation failures are tested for rather than assumed away. You'll also own prompt and output-schema design; model packaging, versioning, serving, and rollback; and the telemetry hooks that make later measurement possible without manual reconstruction - real infrastructure for a real production system, not a demo.
This is a fully remote role, with occasional travel to DEFCON AI HQ, customer sites, and vendor facilities as required.
**Key Responsibilities**
- Implement embeddings, vector storage, and retrieval across a large, provenance-tracked evidence base
- Integrate language models so generated text is bound to cited source records; test for citation failures rather than assuming them away
- Design prompts and output schemas
- Own model packaging, versioning, serving, and rollback
- Instrument telemetry for retrieval and generation quality, recommendation/version attribution, overrides, abstentions, grounding failures, latency, throughput, and measurement events defined with Model Test
- Provide bounded model assistance for difficult narrative extraction where deterministic processing is insufficient, with every output tied to its source passage
- Supply the recorded rule context to every model-assisted step, so each output carries the exact rule versions and ordered context it received
- Maintain a modular in-boundary serving path, self-hosted or managed, alongside the primary managed inference service, so the platform does not depend on one provider’s availability or approval
**Required Qualifications**
- 5+ years of experience, including a production or near-production retrieval-augmented (RAG) system you built yourself
- Ability to speak in detail to your retrieval design, which vector store you used and why, how you tested grounding, what citation failures looked like in practice, and how rollback worked
- Strong Python, with hands-on experience in embeddings and vector retrieval at scale
- Clarity on what actually shipped in past work — prototype, proposal, or deployed code — since that distinction matters more here than the title on a resume
- US Citizenship Required
- Active US Secret clearance required to start.
**Preferred Qualifications**
- Experience deploying models into restricted or air-gapped environments
- Self-hosted or open-weight model operation
- Fine-tuning, adapters, or custom embeddings
- Federal DevSecOps, RMF, ATO, or DoW cloud environment experience
- Active Top Secret clearance
**What Success Looks Like**
- Generated explanations that assert no more than the sources support, with the citation path intact and citation failures tested rather than assumed away
- A retrieval system that performs at scale on a large, provenance-tracked evidence base
- Model rollback that works when it's needed, with telemetry complete enough that measurement does not require manual reconstruction
**What We Offer**
- A fully remote, results-based environment
- Competitive salary, bonus, and equity package
- 100% employer paid, comprehensive health insurance including medical, dental, and vision for you and your family
- Unlimited PTO, with your manager's approval
- Flexible work environment where you manage your work day
- 14 weeks of fully-paid parental leave
**Salary Range:** $165,000–$200,000. This represents the typical salary range for this position based on experience, skills, and other factors.
We’re an Equal Opportunity Employer: You’ll receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.
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**_Applicant Data Disclosure_**
_By submitting an application, you acknowledge that Defcon AI uses third-party service providers to facilitate its recruitment and hiring processes. These providers include applicant tracking systems, candidate verification platforms, and fraud detection tools (collectively, "Hiring Platforms"). Your application materials, including your résumé, cover letter, work samples, responses to application questions, and any other information you submit, may be transmitted to and processed by these Hiring Platforms for the following purposes:_
- _Managing and administering your application throughout the hiring process;_
- _Verifying the accuracy and authenticity of application materials, including by cross-referencing information you provide against publicly available sources and proprietary databases;_
- _Identifying indicators of potentially fraudulent, fabricated, or materially misleading application content, including but not limited to discrepancies between submitted materials and publicly available professional profiles, geographic anomalies, and fabricated work histories._
_Applications that are flagged through this process as containing indicators of fraud or material misrepresentation may be declined from further consideration. If you have questions about the status of your application or the evaluation process, please contact [recruiting@defconai.com](mailto:recruiting@defconai.com)._
_Defcon AI requires its Hiring Platform providers to process your information solely for the purposes described above and in accordance with applicable law. Your information will be retained only for as long as necessary to fulfill these purposes and any applicable legal obligations, after which it will be deleted in accordance with Defcon AI's data retention policies._
_For more information about how your data is used, please refer to our Privacy Policy and_ _[Applicant Privacy Notice](https://nam09.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.redcellpartners.com%2Fapplicant-privacy-policy%2F&data=05%7C02%7Ckat.creamer%40redcellpartners.com%7Cc0f94f3daed94dc7503108de8b61955e%7Cf861de501a2a42359dbf28afd57d1d97%7C0%7C0%7C639101448841578570%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=WoPiBMZqQyPPK5N4E1sCagkbMY2S8P3aSRSoy7T4los%3D&reserved=0)_ _._