Senior Agentic Systems Engineer

POSITION SUMMARY:

Join 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. Every sample and data point represents a real person, and the data foundations you build will directly support clinical insights and scientific innovation. As the platform matures, you will own cross-product agent integration and the development of new specialist tools.

PRIMARY RESPONSIBILITIES:

• Architect, implement, and maintain AI agent orchestration platforms, spanning multi-agent delegation, session management, and streaming interfaces
• Design and build Model Context Protocol (MCP) servers that expose domain-specific capabilities as composable tools
• Implement rigorous security and isolation boundaries, including sandboxed code execution, scoped permissions, Human-in-the-Loop (HITL) workflows, and tenant-aware data access
• Deploy and operate containerized services on AWS using Terraform, optimizing for cost, reliability, and observability based on data
• Think team by partnering directly with ML engineers, data engineers, and product teams to integrate specialist agents without needing translation layers
• Own and advance technical solutions from concept to deployment, pressure-testing assumptions and closing gaps without waiting for a finished playbook
• Use data to root-cause and resolve complex issues across agent orchestration, infrastructure, and LLM providers in a distributed environment
• Write precise, tested Python code, treating quality and reliability as foundational standards rather than an afterthought

QUALIFICATIONS:

• BS/MS in Computer Science or a related field
• 5+ years of production software engineering experience, with a significant focus on backend systems, platform engineering, or infrastructure

KNOWLEDGE, SKILLS, AND ABILITIES:

• Advanced proficiency in Python, writing maintainable, production-quality code
• Direct experience building AI agentic systems in production, including tool calling, multi-agent orchestration, or autonomous task execution
• Deep familiarity with the generative AI ecosystem, including Large Language Models (LLM), orchestration frameworks, MCP, memory strategies, and execution sandboxing
• Hands-on experience with AWS cloud infrastructure, containerized services, and Infrastructure as Code (Terraform)
• Clear understanding of security and isolation in environments where AI agents execute code or access sensitive, regulated data
• Ability to articulate technical tradeoffs clearly to cross-functional stakeholders using data
• Operate with a 'build vs. buy' mindset to scale capabilities rapidly without compromising on precision
• Background in biotech, healthcare, or regulated multi-tenant data environments is preferred