Senior AI Engineer, Real-World Data

🕒 July 24

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

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Logo of Natera

Natera

1001 - 5000 employees

Founded 2004

🏥 Healthcare

🧬 Biotechnology

⚕️ Healthcare Insurance

Healthcare • Biotechnology • Healthcare Insurance

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 documentation, design decisions, and pragmatic tradeoffs across accuracy, cost, and delivery timelines • Extend a live production pipeline that transforms unstructured and semi-structured clinical documents into structured, research- and care-ready datasets • Improve source-material selection, extraction accuracy, and handling of uncertain or low-confidence outputs before inclusion in real-world data datasets • Deliver measurable improvements through careful evaluation and phased rollout • Maintain end-to-end ownership from design through deployment

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field • 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 • Hands-on experience with LLM-based systems and multi-step or agent-based LLM workflows, including orchestration, structured outputs, error handling, and downstream-system integration • Strong hands-on expertise in Python and modern software engineering practices • Experience with testing, code review, workflow orchestration, and agile delivery in large existing codebases • Experience designing and operating AI systems in cloud environments • Experience with CI/CD, observability, and production support • Ability to work independently and deliver end-to-end from technical design through integration and rollout • 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 of Python and object-oriented programming • Knowledge of AWS services such as S3, SQS, and Lambda/Fargate • Knowledge of Docker or container-oriented technologies • Knowledge of REST APIs and event-driven pipeline architecture • Linux fundamentals • Quality assurance mindset

🏖️ Benefits

• Comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents • Free testing for employees and their immediate families • Fertility care benefits • Pregnancy and baby bonding leave • 401k benefits • Commuter benefits • Employee referral program

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