Senior Generative AI Engineer

1 hour, 48 minutes ago
Full-time
Lead
Software Development
Natera

Natera

Natera specializes in cell-free DNA testing, providing advanced genetic testing services for oncology, women's health, and organ health to help families diagnose and manage genetic diseases.

Pharmaceuticals
1K-5K
Founded 2004

Description

  • Design, build, and operate production LLM-powered systems from initial design through deployment and iteration.
  • Build scalable agentic AI automation solutions using appropriate reasoning, memory, agent frameworks, MCPs, workflow orchestration, and fine-tuning approaches.
  • Implement GenAI patterns such as retrieval-augmented generation, tool/function calling, and multi-step workflows.
  • Develop and maintain data ingestion and retrieval pipelines for unstructured and semi-structured documents.
  • Fine-tune and adapt open-source or commercial LLMs for domain-specific tasks when needed.
  • Set quality, evaluation, monitoring, observability, and failure-handling standards for GenAI systems.
  • Make system-level tradeoffs across model choice, latency, cost, accuracy, and operational complexity.
  • Deploy and monitor GenAI services on AWS with an emphasis on latency, cost, and stability.
  • Collaborate with product managers and domain experts to translate requirements into technical solutions.
  • Create golden paths, templates, documentation, shared libraries, and best practices for other engineers.
  • Provide technical guidance and mentorship to mid-level engineers.

Requirements

  • 8+ years of experience in software engineering, ML engineering, or applied AI.
  • Proven experience building and operating LLM-based systems in production.
  • Strong Python skills and experience with PyTorch and/or Hugging Face.
  • Experience building agentic AI solutions using frameworks such as LangChain or CrewAI and execution engines such as AWS Bedrock.
  • Solid understanding of RAG architectures, embeddings, vector databases, and prompt orchestration.
  • Experience deploying AI systems on AWS, including SageMaker, Bedrock, EKS/ECS, Lambda, and S3.
  • Strong debugging skills and comfort working across model, data, and infrastructure layers.
  • Ability to work independently on complex problems and communicate clearly with cross-functional partners.
  • Master’s degree or PhD in Computer Science, AI/ML, engineering, or a related field preferred.
  • Experience in healthcare, pharma, diagnostics, or another regulated industry preferred.
  • Familiarity with AI governance frameworks, bias detection, explainability, and compliance standards such as HIPAA, CLIA, and FDA preferred.

Benefits

  • Competitive pay range of $125,000 to $156,300 USD for remote U.S. candidates.
  • Comprehensive medical, dental, vision, life, and disability coverage for eligible employees and dependents.
  • Free testing for employees and their immediate families, plus fertility care benefits.
  • Pregnancy and baby bonding leave.
  • 401(k) benefits.
  • Commuter benefits.
  • Employee referral program.

Interested in this position?

Apply directly on the company website

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