高级AI工程师,真实数据
Senior AI Engineer, Real-World Data
职位描述:
Natera 正在寻找一名高级代理 AI 工程师,负责设计、构建和实现智能代理工作流,以提升我们真实世界数据(RWD)临床提取平台的质量、可靠性和效率。我们的 RWD 产品将非结构化和半结构化的临床文档转化为结构化、可用于研究和护理的数据集,支持肿瘤学和更广泛的临床用例。
该职位位于应用 AI、软件工程和医疗数据的交汇点。您将扩展一个用于 RWD 交付的实时生产流水线,添加模块化的 AI 能力,以提升源材料进入提取的准确性,提高从临床文本中提取值的精确度,并在它们进入 RWD 数据集之前对不确定或低置信度的输出进行标记或修正。您将在有限的日常指导中定义技术方案,并通过仔细评估和分阶段推出实现可衡量的改进。
理想的候选人具备扎实的动手工程能力,并有在生产环境中部署 LLM 驱动系统的经验。这是一个高级个人贡献者角色,拥有高度自主权,并从设计到部署全程负责。
主要职责
- 设计、构建并部署基于代理的 AI 系统,以提升生产环境中的临床数据提取质量和可靠性。
- 负责代理工作流的技术设计和交付。
- 将新的 AI 能力集成到现有生产平台中,关注性能、可扩展性和成本。
- 与临床 AI、工程和产品团队合作,确定问题优先级,定义成功指标,并推出渐进式改进。
- 开发评估和监控方法,以衡量影响、指导迭代,并支持在受监管环境中的安全部署。
- 通过清晰的文档、设计决策和务实的权衡,在准确率、成本和交付时间之间提供技术领导力。
任职要求
- 计算机科学、工程或相关技术领域的学士或硕士学位;具有临床或生命科学学科的高级学位或背景者优先。
- 7 年以上软件工程经验,包括在大规模生产系统上的重要工作经历。
- 3 年以上构建和部署 AI/ML 驱动应用程序的经验,具备 LLM 基础系统和多步骤或代理式 LLM 工作流的实际操作经验——包括编排
查看英文原文
POSITION SUMMARY:
Natera is seeking a Senior Agentic AI Engineer to design, build, and productionize intelligent agent workflows that improve the quality, reliability, and efficiency of our Real-World Data (RWD) clinical extraction platform. Our RWD products transform unstructured and semi-structured clinical documents into structured, research- and care-ready datasets that support oncology and broader clinical use cases.
This role sits at the intersection of applied AI, software engineering, and healthcare data. You will extend a live production pipeline that powers RWD delivery, adding modular AI capabilities that improve what source material reaches extraction, how accurately values are extracted from clinical text, and how uncertain or low-confidence outputs are flagged or corrected before they enter RWD datasets. You will work with limited day-to-day direction defining technical approach and delivering measurable improvements through careful evaluation and phased rollout.
The ideal candidate combines strong hands-on engineering with experience shipping LLM-powered systems in production. This is a senior individual contributor role with high autonomy and end-to-end ownership from design through deployment.
PRIMARY RESPONSIBILITIES
- Design, build, and deploy agent-based AI systems that improve the quality and reliability of clinical data extraction in production.
- Own technical design and delivery for agent workflows.
- Integrate new AI capabilities into existing production platforms with attention to performance, scalability, and cost.
- Partner with clinical AI, engineering, and product teams to prioritize problems, define success metrics, and ship incremental improvements.
- Develop evaluation and monitoring approaches to measure impact, guide iteration, and support safe deployment in a regulated environment.
- Provide technical leadership through clear documentation, design decisions, and pragmatic tradeoffs across accuracy, cost, and delivery timelines.
QUALIFICATIONS
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field; an advanced degree or background in a clinical or life sciences discipline is a plus.
- 7+ years of software engineering experience, including substantial work on production systems at scale.
- 3+ years building and shipping AI/ML-powered applications in production, with hands-on experience in LLM-based systems and multi-step or agent-based LLM workflows — including orchestration, structured outputs, error handling, and integration with downstream systems.
- Strong hands-on expertise in Python and modern software engineering practices, including testing, code review, workflow orchestration, and agile delivery in large existing codebases.
- Experience designing and operating AI systems in cloud environments, with AWS strongly preferred; experience with CI/CD, observability, and production support is expected.
- Proven ability to work independently and deliver end-to-end - from technical design through integration and rollout - with strong communication and collaboration across technical and non-technical stakeholders.
- Experience with retrieval-based or document-centric AI systems is strongly preferred.
- Experience in healthcare, life sciences, or other regulated industries is strongly preferred.
KNOWLEDGE, SKILLS, AND ABILITIES
- Python and Object-Oriented Programming
- LLM-Based Systems and Multi-Step or Agent-Based AI Workflows
- Retrieval-Based or Document-Centric AI Systems
- AWS Services, such as S3, SQS, and Lambda/Fargate
- Docker or Container-Oriented Technologies
- REST API and Event-Driven Pipeline Architecture
- Linux Fundamentals
- CI/CD
- Observability and Production Support
- Healthcare or Regulated-Industry Data Environments
- Quality Assurance Mindset
#LI-DNI
OUR OPPORTUNITY
Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives.
The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you’ll work hard and grow quickly. Working alongside the elite of the industry, you’ll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management.
WHAT WE OFFER
Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. We also offer a generous employee referral program!
For more information, visit www.natera.com.
Natera is proud to be an Equal Opportunity Employer. We are committed to ensuring a diverse and inclusive workplace environment, and welcome people of different backgrounds, experiences, abilities and perspectives. Inclusive collaboration benefits our employees, our community and our patients, and is critical to our mission of changing the management of disease worldwide.
All qualified applicants are encouraged to apply, and will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability or any other legally protected status. We also consider qualified applicants regardless of criminal histories, consistent with applicable laws.
If you are based in California, we encourage you to read this important information for California residents.
Link: https://www.natera.com/notice-of-data-collection-california-residents/
Please be advised that Natera will reach out to candidates with a @natera.com email domain ONLY. Email communications from all other domain names are not from Natera or its employees and are fraudulent. Natera does not request interviews via text messages and does not ask for personal information until a candidate has engaged with the company and has spoken to a recruiter and the hiring team. Natera takes cyber crimes seriously, and will collaborate with law enforcement authorities to prosecute any related cyber crimes.
For more information:
- BBB announcement on job scams
- FBI Cyber Crime resource page