Senior AI Engineer, Real-World Data
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Job Description
Senior AI Engineer designing and deploying AI systems for clinical data extraction at Natera. Focused on improving quality and efficiency of oncology and research datasets.
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.
Benefits:
- Comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents.
- Free testing in addition to fertility care benefits.
- Pregnancy and baby bonding leave.
- 401k benefits.
- Commuter benefits.
- Generous employee referral program.
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