{"schemaVersion":"jobsearcher.job.v1","id":"c91262d9dc69e02ed62efcfa","url":"https://jobsearcher.com/jobs/c91262d9dc69e02ed62efcfa","canonicalUrl":"https://jobsearcher.com/jobs/c91262d9dc69e02ed62efcfa","title":"Senior Agentic Systems Engineer","description":"Job Description\nSenior Agentic Systems Engineer\n\nNatera\n\nSan Carlos, CA\n\nOn-site, Remote\n\n$124,800—$156,000 USD Annual\n\nPosition Summary\nJoin Natera's Therapeutics & Innovations group as a Senior Agentic Systems Engineer to build Artificial Intelligence (AI) orchestration platforms. You will design, scale, and deploy generative AI (GenAI) and Large Language Model (LLM) agentic systems that leverage our multimodal data to advance therapeutic development. As the platform matures, you will own cross-product agent integration and the development of new specialist tools.\n\nPrimary Responsibilities\n\nArchitect, implement, and maintain AI agent orchestration platforms, spanning multi-agent delegation, session management, and streaming interfaces.\n\nDesign and build Model Context Protocol (MCP) servers that expose domain-specific capabilities as composable tools.\n\nImplement rigorous security and isolation boundaries, including sandboxed code execution, scoped permissions, Human-in-the-Loop (HITL) workflows, and tenant-aware data access.\n\nDeploy and operate containerized services on AWS using Terraform, optimizing for cost, reliability, and observability based on data.\n\nPartner directly with ML engineers, data engineers, and product teams to integrate specialist agents without needing translation layers.\n\nOwn and advance technical solutions from concept to deployment, pressure-testing assumptions and closing gaps without waiting for a finished playbook.\n\nUse data to root-cause and resolve complex issues across agent orchestration, infrastructure, and LLM providers in a distributed environment.\n\nWrite precise, tested Python code, treating quality and reliability as foundational standards rather than an afterthought.\n\nQualifications\n\nBS/MS in Computer Science or a related field.\n\n5+ years of production software engineering experience, with a significant focus on backend systems, platform engineering, or infrastructure.\n\nKnowledge, Skills, And Abilities\n\nPython: Advanced proficiency in writing maintainable, production-quality code.\n\nAI Systems: Direct experience building AI agentic systems in production (tool calling, multi-agent orchestration, autonomous task execution).\n\nGenAI Ecosystem: Deep familiarity with LLMs, orchestration frameworks, MCP, memory strategies, and execution sandboxing.\n\nCloud & Infrastructure: Hands-on experience with AWS, containerized services, and Infrastructure as Code (Terraform).\n\nSecurity: Clear understanding of security and isolation in environments where AI agents execute code or access sensitive data.\n\nCommunication: Ability to articulate technical tradeoffs clearly to cross-functional stakeholders.\n\nStrategic Mindset: Operate with a 'build vs. buy' mindset to scale capabilities rapidly.\n\nIndustry Background: Background in biotech, healthcare, or regulated multi-tenant data environments is preferred.\n\nBenefits\n\nComprehensive medical, dental, vision, life, and disability plans.\n\nFree testing and fertility care benefits for employees and immediate families.\n\nPregnancy and baby bonding leave.\n\n401k benefits and commuter benefits.\n\nGenerous employee referral program.\n\n#J-18808-Ljbffr","company":"ChatGPT","rawCompany":"chatgpt","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-06-20T03:13:45.181Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1211.00","title":"Computer Systems Analysts","slug":"computer-systems-analysts"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Agentic Systems Engineer","description":"Job Description\nSenior Agentic Systems Engineer\n\nNatera\n\nSan Carlos, CA\n\nOn-site, Remote\n\n$124,800—$156,000 USD Annual\n\nPosition Summary\nJoin Natera's Therapeutics & Innovations group as a Senior Agentic Systems Engineer to build Artificial Intelligence (AI) orchestration platforms. You will design, scale, and deploy generative AI (GenAI) and Large Language Model (LLM) agentic systems that leverage our multimodal data to advance therapeutic development. As the platform matures, you will own cross-product agent integration and the development of new specialist tools.\n\nPrimary Responsibilities\n\nArchitect, implement, and maintain AI agent orchestration platforms, spanning multi-agent delegation, session management, and streaming interfaces.\n\nDesign and build Model Context Protocol (MCP) servers that expose domain-specific capabilities as composable tools.\n\nImplement rigorous security and isolation boundaries, including sandboxed code execution, scoped permissions, Human-in-the-Loop (HITL) workflows, and tenant-aware data access.\n\nDeploy and operate containerized services on AWS using Terraform, optimizing for cost, reliability, and observability based on data.\n\nPartner directly with ML engineers, data engineers, and product teams to integrate specialist agents without needing translation layers.\n\nOwn and advance technical solutions from concept to deployment, pressure-testing assumptions and closing gaps without waiting for a finished playbook.\n\nUse data to root-cause and resolve complex issues across agent orchestration, infrastructure, and LLM providers in a distributed environment.\n\nWrite precise, tested Python code, treating quality and reliability as foundational standards rather than an afterthought.\n\nQualifications\n\nBS/MS in Computer Science or a related field.\n\n5+ years of production software engineering experience, with a significant focus on backend systems, platform engineering, or infrastructure.\n\nKnowledge, Skills, And Abilities\n\nPython: Advanced proficiency in writing maintainable, production-quality code.\n\nAI Systems: Direct experience building AI agentic systems in production (tool calling, multi-agent orchestration, autonomous task execution).\n\nGenAI Ecosystem: Deep familiarity with LLMs, orchestration frameworks, MCP, memory strategies, and execution sandboxing.\n\nCloud & Infrastructure: Hands-on experience with AWS, containerized services, and Infrastructure as Code (Terraform).\n\nSecurity: Clear understanding of security and isolation in environments where AI agents execute code or access sensitive data.\n\nCommunication: Ability to articulate technical tradeoffs clearly to cross-functional stakeholders.\n\nStrategic Mindset: Operate with a 'build vs. buy' mindset to scale capabilities rapidly.\n\nIndustry Background: Background in biotech, healthcare, or regulated multi-tenant data environments is preferred.\n\nBenefits\n\nComprehensive medical, dental, vision, life, and disability plans.\n\nFree testing and fertility care benefits for employees and immediate families.\n\nPregnancy and baby bonding leave.\n\n401k benefits and commuter benefits.\n\nGenerous employee referral program.\n\n#J-18808-Ljbffr","datePosted":"2026-06-20T03:13:45.181Z","dateModified":"2026-06-20T03:13:45.181Z","hiringOrganization":{"@type":"Organization","name":"ChatGPT","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"c91262d9dc69e02ed62efcfa"},"url":"https://jobsearcher.com/jobs/c91262d9dc69e02ed62efcfa"}}