Designing, building, and deploying Natera’s Generative AI and Machine Learning platforms.
Building enterprise-grade AI/ML systems that power internal workflows and external-facing platforms.
Developing a production-ready Generative AI and MLOps platform with reusable components.
Establishing clear standards and best practices for AI/ML development across the organization.
Implementing foundational GenAI services such as vector search and prompt tuning.
Collaborating with research teams to prototype and productionize multi-agent architectures for workflow automation.

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.

Benefits

Comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents.
Free testing for Natera employees and their immediate families.
Fertility care benefits.
Pregnancy and baby bonding leave.
401k benefits.
Commuter benefits.
Generous employee referral program.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Generative AIMachine LearningMLOpsPythonTensorFlowPyTorchSparkMLflowKubeflowvector DBs

Soft Skills

influencementoringsetting technical standards