Natera Logo

Natera

Senior AI Engineer, Real-World Data

Posted 4 Days Ago
Remote
Hiring Remotely in US
Senior level
Remote
Hiring Remotely in US
Senior level
Design, build, and productionize agent-based LLM workflows to improve clinical data extraction quality and reliability. Integrate AI capabilities into existing pipelines, ensure scalability and cost efficiency, develop evaluation/monitoring for safe regulated deployment, and lead technical design and rollout across teams.
The summary above was generated by AI

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 

Natera San Carlos, California, USA Office

201 Industrial Road, San Carlos, CA, United States, 94070

Similar Jobs

A Minute Ago
Remote
United States
102K-133K Annually
Senior level
102K-133K Annually
Senior level
Artificial Intelligence • Information Technology • Professional Services • Software • Analytics • Generative AI • Big Data Analytics
Lead design and implementation of an enterprise Databricks lakehouse, build scalable batch and streaming pipelines, enforce governance and CI/CD standards, optimize Spark workloads, operationalize ML with MLflow, manage cloud infrastructure and IaC, and mentor data engineering teams.
Top Skills: AdlsAWSAzureDatabricksDatabricks Asset BundlesDatabricks WorkflowsDbxDelta LakeDelta Live TablesFeature StoreGCPGcsGitMlflowPhotonPysparkPythonS3ScalaSpark SqlSQLStructured StreamingTerraformUnity Catalog
3 Minutes Ago
Remote
USA
Senior level
Senior level
Artificial Intelligence • Machine Learning • Software • Defense
Build and ship production-grade agentic AI developer tools and a coding harness to modernize legacy systems. Design integrations across source control, CI/CD, security scanners, and cloud services. Partner with customers and product teams to iterate on AI-native workflows, ensure cybersecurity compliance, and scale agentic systems for defense missions.
Top Skills: Agent2Agent (A2A)AWSLanggraphModel Context Protocol (Mcp)Node.jsOpenai SdkPostgresPythonReactTailwindTypescript
23 Minutes Ago
Remote or Hybrid
United States
42K-42K Annually
Junior
42K-42K Annually
Junior
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Serve as the primary contact for customers via phone and digital channels, resolving complex policy, coverage, billing, and service inquiries end-to-end. Use guided, AI-powered tools, validate call summaries, document interactions per privacy and regulatory standards, escalate issues as needed, and participate in training and continuous improvement.
Top Skills: Ai-Powered ToolsCustomer Communication SystemsCustomer Relationship Management (Crm) PlatformsKnowledge Bases

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account