Senior AI Engineer

Summary

Join Natera as a Senior AI Engineer to lead cutting-edge AI initiatives focused on developing and deploying AI-powered solutions for task automation, workflow guidance, and intelligent analytics. You will define the AI strategy, spearhead Generative AI, deep learning, and machine learning solutions, and collaborate with cross-functional teams. This role demands deep expertise in AI model development, infrastructure optimization, and human-centered AI applications. You will architect and optimize Generative AI solutions, develop and fine-tune custom LLMs, and build real-time AI-powered applications. The position also involves designing full-stack AI-driven applications and collaborating with data scientists and software engineers. You will educate technical and business leaders on AI/ML capabilities and advocate for responsible AI practices.

Requirements

• 8+ years of experience in software development
• Expertise in Python, Java, SQL, and AI/ML frameworks (PyTorch, TensorFlow, Keras, Scikit-learn)
• Proven experience fine-tuning LLMs, developing RAG systems, and working with Generative AI
• 5+ years of hands-on experience deploying ML models in production using AWS SageMaker, Bedrock, or similar cloud AI platforms
• Strong background in task automation, workflow optimization, and real-time AI applications
• Deep expertise in cloud computing (AWS) and MLOps best practices
• Strong problem-solving skills with a strategic mindset for AI adoption and innovation
• Experience in creating models using neural nets, LSTM etc
• Publications in AI domain

Responsibilities

• Develop and execute a strategic roadmap for AI-driven clinical genomics platform
• Identify and implement Generative AI and deep learning models
• Lead research and prototyping efforts in Retrieval-Augmented Generation (RAG), prompt engineering, and fine-tuning LLMs (Large Language Models)
• Stay at the forefront of AI advancements, assessing emerging technologies for their practical application in the clinical and genomics domain
• Architect and optimize Generative AI solutions leveraging AWS Bedrock, SageMaker, and ML frameworks (PyTorch, TensorFlow, Scikit-learn)
• Develop and fine-tune custom LLMs to enhance workflow automation and decision support
• Build real-time AI-powered applications to provide contextual recommendations and predictive insights in clinical environments
• Ensure scalability, security, and efficiency of AI/ML models for high-throughput
• Implement MLOps best practices, including automated model training, validation, and deployment pipelines
• Design full-stack AI-driven applications that integrate workflow automation, task management, and decision support
• Develop interactive dashboards and AI-driven user interfaces
• Work on backend AI services and front-end applications to deliver seamless AI-driven experiences
• Generative AI applications
• Work closely with data scientists, software engineers
• Lead internal and external teams in the development and deployment of llm apps
• Educate technical and business leaders on AI/ML capabilities and strategy
• Advocate for and implement responsible AI practices, ensuring compliance with regulatory requirements

Benefits

• Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents
• Natera employees and their immediate families receive free testing in addition to fertility care benefits
• Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more
• We also offer a generous employee referral program!