Principal Software Engineer, AI

Summary

Join Natera as a Principal AI Engineer and lead cutting-edge AI initiatives to optimize high-throughput lab operations. You will develop and deploy AI-powered solutions for task automation, workflow guidance, and intelligent analytics. As a technical leader, you'll define the AI strategy, spearhead Generative AI 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 work with various technologies including AWS Bedrock and SageMaker. Natera offers competitive benefits and a collaborative work environment.

Requirements

• 12+ 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
• 8+ 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

Responsibilities

• Develop and execute a strategic roadmap for AI-driven lab operations optimization
• Identify and implement Generative AI and deep learning models for automating and enhancing lab workflows
• Lead research and prototyping efforts in Retrieval-Augmented Generation (RAG), prompt engineering, and fine-tuning LLMs (Large Language Models)
• Guide AI-driven solutions for task list generation, workflow guidance, and intelligent lab automation
• Stay at the forefront of AI advancements, assessing emerging technologies for their practical application in lab operations
• 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 lab environments
• Ensure scalability, security, and efficiency of AI/ML models for high-throughput lab operations
• 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 that enhance lab efficiency
• Implement AI-powered guidance tools that assist lab personnel in navigating complex workflows
• Work on backend AI services and front-end applications to deliver seamless AI-driven experiences
• Work closely with data scientists, software engineers, and lab personnel to define and execute AI solutions
• Lead internal and external teams in the development and deployment of Generative AI applications
• Educate technical and business leaders on AI/ML capabilities and strategic applications
• Advocate for and implement responsible AI practices, ensuring compliance with regulatory requirements

Preferred Qualifications

• Experience with custom LIMS/LES development and AI-driven lab automation
• Familiarity with regulatory compliance and security standards in healthcare and life sciences

Benefits

• 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
• Pregnancy and baby bonding leave
• 401k benefits
• Commuter benefits
• Generous employee referral program