Senior AI Engineer, Real-World Data

Stelle nicht auf LinkedIn

🕒 vor 4 Tagen

🇺🇸 Vereinigte Staaten – Remote

⏰ Vollzeit

🟠 Senior

🤖 KI-Ingenieur

🦅 H1B-Visum-Sponsor

info

🗣️🇺🇸🇬🇧 Englisch erforderlich

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Logo of Natera

Natera

1001 - 5000 Mitarbeiter

Gegründet 2004

🧬 Biotechnologie

⚕️ Krankenversicherung

💊 Pharmazie

Biotechnology • Healthcare Insurance • Pharmaceuticals

Natera ist ein weltweit führendes Unternehmen in der Technologie der zellfreien DNA-Tests, das sich auf nicht-invasive genetische Tests und Diagnostik spezialisiert hat. Die innovativen Lösungen des Unternehmens konzentrieren sich auf Bereiche wie pränatales Screening, Krebstestung und Überwachung von Organtransplantationen. Durch den Einsatz fortschrittlicher Bioinformatik und DNA-Analysen bietet Natera medizinischen Fachkräften und Patienten entscheidende Informationen, um fundiertere medizinische Entscheidungen treffen zu können.

Beschreibung

• 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.

🎯 Anforderungen

• 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.

🏖️ Vorteile

• 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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