Senior AI/ML Engineer at Natera

Natera seeks a Senior AI/ML Engineer to design, build, and deploy Generative AI and Machine Learning platforms. You will 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.

Key Responsibilities:

Platform Development:

Build foundational GenAI services including vector search, prompt tuning, agent orchestration, document extraction, memory services, model registries, and evaluation pipelines

Create infrastructure for autonomous AI agents with collaboration and persistence capabilities

Develop standardized APIs/SDKs for product teams to deploy generative AI workloads

Generative AI Enablement:

Implement RAG at scale: ingestion pipelines, chunking/embedding policies, hybrid search, relevance/risk scoring, and feedback loops

Build agent orchestration (single & multi-agent) with planning, tool routing, shared/persistent memory, and inter-agent communication

Integrate secure tooling for agents to interact with internal systems

Infrastructure & Automation:

Deploy cloud-native infrastructure using Kubernetes, MLflow, Terraform, and AWS services

Implement observability tools like Datadog for monitoring AI outputs

Safety & Compliance:

Embed compliance-by-design (HIPAA/CLIA/CAP/FDA/GDPR) protections

Implement guardrails and bias detection for AI systems

Required Qualifications:

8+ years software/ML engineering; 5+ years at scale

Production-grade ML/LLM systems on AWS (Python, TensorFlow/PyTorch, Spark)

Proven experience with GenAI/LLMs: fine-tuning, RAG, prompt orchestration, agentic systems, safety guardrails

Hands-on RAG experience with embeddings and vector databases

Experience building agentic platforms (LangChain, LlamaIndex, CrewAI, Semantic Kernel)

Strong distributed systems and cloud-native development knowledge

Healthcare/biotech compliance engineering background preferred

Salary: $125,600 - $157,000 USD (Remote USA)