Senior AI Engineer, Real-World Data

Natera is seeking a Senior AI Engineer to design, build, and productionize intelligent agent workflows that enhance their Real-World Data clinical extraction platform. The role involves extending a live production pipeline and integrating AI capabilities to improve data extraction accuracy and efficiency.

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
• Experience with retrieval-based or document-centric AI systems is strongly preferred
• Experience in healthcare, life sciences, or other regulated industries is strongly preferred