The Senior AI/ML Engineer is responsible for designing, building, and deploying Natera’s Generative AI and Machine Learning platforms.
Design, build, and scale enterprise-grade AI/ML systems that power internal workflows (R&D, Lab Ops, Clinical Trials, Billing, Patient/Provider engagement) and external-facing AI/ML platforms.
Design and build cutting-edge AI solutions leveraging agentic architecture, retrieval-augmented generation (RAG), vector search, feature stores, LLMOps, experimentation, observability, and compliance-first AI pipelines.
Development of a production-ready Generative AI and MLOps platform with reusable components used to deploy multiple AI solutions across Natera’s business units.
Develop clear standards and best practices established for AI/ML development across the organization.
Requirements
8+ years in software/ML engineering, with 5+ years in ML engineering at scale.
Expertise in building production-grade ML/LLM systems on AWS tech stack (Python, TensorFlow/PyTorch, Spark, MLflow/Kubeflow, vector DBs).
Proven track record with GenAI/LLMs: fine-tuning, RAG, prompt orchestration, agentic systems, safety guardrails, monitoring, and cost optimization.
Hands-on with RAG systems (embeddings, vector DBs, retrieval policies) and LLM runtime operations (caching, quotas, multi-model routing).
Experience building agentic AI platforms (LangChain, LlamaIndex, CrewAI, Semantic Kernel, or custom).
Deep knowledge of data-intensive systems, distributed architectures, and cloud-native development.
Strong grounding in compliance-first engineering in healthcare, biotech, or diagnostics preferred.
Track record building secure, compliant data/AI systems and automating policy checks.
Excellent ability to influence across teams, mentor engineers, and set technical standards.
Tech Stack
AWS
Cloud
Python
PyTorch
Spark
Tensorflow
Benefits
Competitive Benefits
Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents.
Free testing for Natera employees and their immediate families in addition to fertility care benefits.