Principal AI Engineer

Natera

. Own platform architecture and hands-on delivery for the Vector Store GenAI Platform, including search and retrieval, document processing and chunking, ingestion pipelines, and APIs serving downstream AI workflows .

Posted 10/15/2026full-timeRemote • United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in platform architecture and hands-on delivery for AI/ML-powered applications, with a focus on retrieval-augmented systems and document-centric AI pipelines. Proven ability to lead technical direction, improve retrieval quality, and integrate LLM capabilities in regulated environments.

Highest-signal resume keywords

Platform Architecture OwnershipAI/ML Application DevelopmentPython ProgrammingCloud Environment ExperienceHealthcare Document Expertise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringRetrieval-Augmented SystemsDocument ProcessingEmbedding Models EvaluationIndexing and Retrieval QualityCI/CD PracticesAgile DeliveryTesting and Code ReviewWorkflow OrchestrationDocument Classification

Soft Skills

Strong CommunicationInfluencing Without Authority

Tools & Technologies

AWSObservability ToolsProduction Support Systems

Industry Keywords

HealthcareLife SciencesRegulated IndustriesDocument-Centric SearchRAG Systems

Tech Stack

Tools & technologies

AssemblyAWSCloudPython

About the role

Key responsibilities & impact

Own platform architecture and hands-on delivery for the Vector Store GenAI Platform, including search and retrieval, document processing and chunking, ingestion pipelines, and APIs serving downstream AI workflows
Set technical direction for hybrid search and retrieval quality
Evaluate embedding models and retrieval approaches through implementations, POCs, and benchmarks
Advance document parsing and chunking for accurate, structured, and faceted retrieval
Build stable, reproducible retrieval for agent and re-extraction workloads, including durable content identifiers, context assembly, versioned indices, and quality or confidence signals
Strengthen document classification and ingestion visibility across historical and ongoing data flows
Improve retrieval quality through deduplication, clinical concept normalization, and promising retrieval methods
Integrate LLM capabilities into production systems with attention to performance, scalability, cost, observability, and safe operation in a regulated environment
Partner with clinical AI, engineering, product, and SME stakeholders to prioritize workstreams, define success metrics, and sequence roadmap investments
Provide principal-level technical leadership through architecture decisions, design reviews, documentation, mentoring influence, and pragmatic tradeoffs

Requirements

What you’ll need

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field
10+ years of software engineering experience, including substantial ownership of production systems at scale
5+ years building and shipping AI/ML-powered applications in production
Deep hands-on experience in retrieval-augmented systems, vector search, and document-centric AI pipelines, including indexing, retrieval quality, evaluation, and integration with downstream LLM or agent systems
Demonstrated track record as a principal or equivalent individual contributor
Strong hands-on expertise in Python and modern software engineering practices, including testing, code review, workflow orchestration, and agile delivery in large existing codebases
Experience designing and operating AI systems in cloud environments; AWS strongly preferred
Experience with CI/CD, observability, and production support
Ability to work independently as an architecture-plus-build individual contributor and influence without direct authority
Strong communication across technical and non-technical audiences
Experience with clinical or structured healthcare documents and document-centric search or RAG systems is strongly preferred
Experience in healthcare, life sciences, or other regulated industries is strongly preferred
Experience designing retrieval interfaces used by agents or multi-step LLM workflows is a plus

Benefits

Comp & perks

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
Employee referral program