Tech Stack

Description

You will design, build, and scale Natera's next-generation GenAI and ML platforms, leading technical vision and hands-on delivery of production-grade AI services. This role directly impacts patient outcomes and clinical innovation through robust, compliant, and high-performance systems.

Requirements

• Deep expertise in AI engineering at scale
• Experience building enterprise-grade GenAI and ML platforms and services
• Proficiency with MLOps tools such as Kubernetes, MLflow, and AWS-native services
• Hands-on experience with RAG, prompt engineering, vector search, and LLM governance
• Ability to set technical standards and mentor engineers

Responsibilities

• Define technical vision and architecture for ML and GenAI platforms ensuring scalability, reliability, and compliance
• Build and operate core AI platform components including LLM registries, evaluation pipelines, vector databases, RAG frameworks, and agent frameworks
• Design, build, and operate end-to-end ML/DL/FM infrastructure for feature engineering, training, evaluation, deployment, and monitoring
• Implement production-grade GenAI services (e.g., extraction, classification, summarization) and deploy large models using MLOps practices (Kubernetes, MLflow, AWS)
• Deliver RAG, agentic runtime, and domain-specific copilots in compliance-ready environments