ChatGPT Jobs · 10 hours ago
Senior Generative AI Engineer
Austin, TX
Full-time
Hybrid
Senior Level, Lead/Staff
$125K/yr - $156K/yr
8+ years expNatera is a global leader in cell-free DNA testing, focused on oncology, women's health, and organ health. They are seeking a Senior Generative AI Engineer responsible for designing, building, and deploying Generative AI and Machine Learning solutions that enhance patient outcomes and clinical innovation.
Computer Software
Responsibilities
Design, build, and operate LLM-powered systems used in production, from initial design through deployment and iterations
Build scalable agentic AI automation solutions, selecting appropriate patterns (reasoning, memory, agent frameworks, MCP's, workflow orchestration, fine-tuning) based on business requirements
Implement GenAI patterns such as RAG, tool/function calling, and multi-step workflows, selecting approaches based on accuracy, reliability and cost
Develop and maintain data ingestion and retrieval pipelines, especially for unstructured or semi-structured documents
Fine-tune and adapt open-source or commercial LLMs for domain-specific tasks when appropriate
Set quality, evaluation, and reliability standards for GenAI systems, including testing, monitoring, observability, and failure handling
Make system-level tradeoffs across model choice, latency, cost, accuracy, and operational complexity, and guide teams through those decisions
Deploy and monitor GenAI services on AWS, optimizing for latency, cost, and system stability
Collaborate with product managers and domain experts to translate requirements into technical solutions
Establish golden paths (templates, examples, docs) and contribute to shared GenAI libraries, patterns, and best practices used by other engineers
Provide technical guidance and mentorship to mid-level engineers
Qualification
Required
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 agent frameworks (LangChain, CrewAI etc.) and agent execution engines (AWS Bedrock etc.)
Solid understanding of RAG architectures, embeddings, vector databases, and prompt orchestration
Experience deploying AI systems on AWS (e.g., SageMaker, Bedrock, EKS/ECS, Lambda, 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
Preferred
Masters degree or PhD in Computer Science, AI/ML, engineering or related field
Experience in healthcare, pharma, diagnostics, or other regulated industries
Familiarity with AI governance frameworks, bias detection, explainability, and compliance (e.g., HIPAA, CLIA, FDA)
Benefits
Medical
Dental
Vision
Life
Retirement
Company
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2-10 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase