Senior Generative AI Engineer at Natera

, , United States -

Full Time

Start Date

Immediate

Expiry Date

16 Jun, 26

Salary

156300.0

Posted On

18 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Generative AI, Machine Learning Engineering, LLM-Powered Systems, Agentic AI, Retrieval-Augmented Generation (RAG), Vector Search, LLMOps, Python, PyTorch, Hugging Face, Agent Frameworks, AWS Bedrock, Vector Databases, Prompt Orchestration, AWS Deployment, System Tradeoffs

Industry

Biotechnology Research

Description

Role Overview The Senior Generative AI Engineer is responsible for designing, building, and deploying Natera’s Generative AI and Machine Learning solutions. The role needs excellent hands-on AI engineering excellence to build robust, accurate, and reliable AI solutions. This role requires deep expertise in Generative AI and machine learning engineering at scale, with a passion for building solutions that directly impact patient outcomes and clinical innovation. In this role, you will develop enterprise-grade AI/ML solutions that power internal workflows (R&D, Lab Ops, Clinical Trials, Billing, Patient/Provider engagement) to automate business processes. You will also build cutting-edge AI solutions leveraging agentic architecture, retrieval-augmented generation (RAG), vector search, feature stores, LLMOps, experimentation, observability, and compliance-first AI pipelines. Key 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 Qualifications 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) The pay range is listed and actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. Remote USA $125,000—$156,300 USD OUR OPPORTUNITY Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives. The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you’ll work hard and grow quickly. Working alongside the elite of the industry, you’ll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management. WHAT WE OFFER Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. We also offer a generous employee referral program! For more information, visit www.natera.com. Natera is proud to be an Equal Opportunity Employer. We are committed to ensuring a diverse and inclusive workplace environment, and welcome people of different backgrounds, experiences, abilities and perspectives. Inclusive collaboration benefits our employees, our community and our patients, and is critical to our mission of changing the management of disease worldwide. All qualified applicants are encouraged to apply, and will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability or any other legally protected status. We also consider qualified applicants regardless of criminal histories, consistent with applicable laws. If you are based in California, we encourage you to read this important information for California residents. Link: https://www.natera.com/notice-of-data-collection-california-residents/ Please be advised that Natera will reach out to candidates with a @natera.com email domain ONLY. Email communications from all other domain names are not from Natera or its employees and are fraudulent. Natera does not request interviews via text messages and does not ask for personal information until a candidate has engaged with the company and has spoken to a recruiter and the hiring team. Natera takes cyber crimes seriously, and will collaborate with law enforcement authorities to prosecute any related cyber crimes. For more information: - BBB announcement on job scams - FBI Cyber Crime resource page

Responsibilities

The Senior Generative AI Engineer will be responsible for designing, building, and deploying robust Generative AI and Machine Learning solutions, focusing on developing enterprise-grade AI/ML solutions to power internal workflows and automate business processes. Key tasks include building scalable agentic AI automation solutions, implementing GenAI patterns like RAG, and setting quality and reliability standards for production LLM-powered systems.