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Posted 23 hours agoAI Engineer
at Natera
United StatesRemote
Responsibilities
- Design and ship AI-powered experiences for oncologists and clinical teams.
- Ship zero-to-one AI products end-to-end — from customer discovery and prototyping through production deployment and iteration •
- Build agentic AI systems — design and implement autonomous and semi-autonomous workflows using LLMs, tool-use, memory, and orchestration •
- Develop AI tools that improve efficiency across clinical operations, data extraction, manual workflows, and more •
- Track record of working in regulated environments (HIPAA, FDA, CLIA, CAP) •
Requirements
- AI Engineer, Provider & Oncology Innovation Location: US Remote The Role
- This is a high-autonomy, high-agency position for a builder who thrives in ambiguity and wants to ship AI products that directly impact cancer care.
- 1. AI Products for Providers
- This includes exploring conversational AI experiences, building agent-based workflows that help providers navigate managing patient care, and bringing new clinical AI products to market.
- You'll spend meaningful time with customers to deeply understand their workflows and uncover where AI can create transformative value.
- 2. Commercializing Natera's AI Foundation Models
- You'll be the bridge between Natera's AI research lab and the launched product.
- Commercialize AI research — partner with the AI lab to take proprietary models from research prototypes and into production •
- experience , with at least 2 years focused on AI/ML or LLM-powered products in production •
- Demonstrated ability to ship end-to-end — you've taken AI features or products from idea to production, ideally in a zero-to-one context •
- Strong full-stack engineering skills — proficiency in Python and modern web frameworks; you can build both the model pipeline and the user-facing product • Production
- experience with LLMs — fine-tuning, RAG, prompt engineering, agentic architectures, structured extraction, evaluation, and observability •
- Excellent communication — you can translate complex AI concepts for clinical and business stakeholders, and articulate a vision for what you're building and why Preferred •
- Experience in healthcare, biotech, diagnostics, or pharma — especially oncology •