Key skills
AI-powered feature developmentAI-assisted development toolingBackend engineering fundamentalsREST APIsgRPC APIsMicroservicesRelational databasesEvent-driven architecturesPythonJavaGoTypeScriptThird-party AI/IDP platform integrationHealthcare/clinical lab/diagnostics workflowsDocument data extractionForms automationAccessioning/intake systemsLIMS platform integrationVision modelsOCRPrompt engineeringModel evaluationmonitoringMLOpsCloud services (AWS/GCP/Azure)CI/CDTest automationRegulated environment awareness HIPAARegulated environment awareness CLIARegulated environment awareness GxPProduct mindsetCommitment to building inclusivehigh-performing teamsAIClaudeReactgRPCCommunication
About this role
Natera is a global leader in cell-free DNA testing, dedicated to personalized genetic testing and diagnostics. They are seeking a Staff Software Engineer to lead the development of AI-native accessioning automation services, focusing on integrating AI technologies to improve operational efficiency and reduce costs.
Responsibilities:
- Lead the technical design and delivery of AI-native accessioning automation services across paper and electronic requisition forms
- Build fast, ship independently. Operate in small, high-autonomy pods. Drive deliverables from prototype to production without waiting for consensus
- Apply AI pragmatically. Use LLMs, vision models, OCR, and IDP frameworks to solve real accessioning problems
- Own the product outcome, not just the code. Partner directly with Accessioning Operations, Product, and Engineering teams to understand workflows and measure impact in throughput and cost savings
- Integrate across systems, build into existing mature commerce and fulfillment systems
- Set the bar for engineering practice on a new team: AI-assisted development, strong test automation, a high leverage ratio enabled by modern tooling, CI/CD, and observability
- Be curious. Evaluate new AI tools, models, and vendor solutions. Build vs. buy vs. integrate decisions are yours to drive
- Mentor and multiply. Raise the technical quality of peers through design reviews, pairing, and evangelizing best practices
Requirements:
- BS in Computer Science or equivalent practical experience
- 10+ years of software engineering experience building production systems that handle real business processes or data workflows
- Demonstrated ability to ship AI-powered features in production
- Experience with modern AI-assisted development tooling (Cursor, Claude Code, Copilot) as part of daily workflow
- Strong backend engineering fundamentals: REST/gRPC APIs, microservices, relational databases, event-driven architectures
- Proficiency in at least one modern backend stack (Python preferred given the AI ecosystem; Java, Go, or TypeScript also acceptable)
- Experience integrating third-party AI/IDP platforms
- A track record of working fast and independently
- Product mindset: you measure success by business outcome, not lines of code
- Excellent written and verbal communication; you can explain trade-offs to non-technical stakeholders
- Commitment to building inclusive, high-performing teams
- Experience with healthcare, clinical lab, or diagnostics workflows (HIPAA, regulated environments)
- Prior work on document data extraction, forms automation, or accessioning/intake systems
- Familiarity with LIMS platforms (LabVantage or others) — for integration context only, not configuration
- Front-end experience (React) for building internal tools and operator UIs
- Experience evaluating and fine-tuning vision or document-understanding models
- MLOps experience: model evaluation, monitoring, drift detection, prompt/version management