Senior AI Engineer, Real-World Data

Natera is a healthcare and diagnostics company focused on genetic testing and clinical applications. The Senior Agentic AI Engineer will design, build, and productionize intelligent agent workflows that improve the quality, reliability, and efficiency of real-world clinical data extraction, while owning technical delivery from design through deployment.

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

Requirements:

• 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
• Python and Object-Oriented Programming
• LLM-Based Systems and Multi-Step or Agent-Based AI Workflows
• 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
• Quality Assurance Mindset
• Experience with retrieval-based or document-centric AI systems is strongly preferred
• Experience in healthcare, life sciences, or other regulated industries is strongly preferred
• Retrieval-Based or Document-Centric AI Systems
• Healthcare or Regulated-Industry Data Environments