Senior AI Engineer, Real-World Data

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🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

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Natera

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2004

🧬 Biotechnology

⚕️ Healthcare Insurance

💊 Pharmaceuticals

Biotechnology • Healthcare Insurance • Pharmaceuticals

Natera is a global leader in cell-free DNA testing technology, specializing in non-invasive genetic testing and diagnostics. The company's innovative solutions focus on areas such as prenatal screening, cancer detection, and organ transplant monitoring. By using advanced bioinformatics and DNA analysis, Natera provides healthcare professionals and patients with critical information to make more informed medical decisions.

📋 Description

• 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.