Backend & AI Platform Engineer

Bring more to life.

Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology?

At Beckman Coulter Life Sciences, one of Danaher’s 15+ operating companies, our work saves lives—and we’re all united by a shared commitment to innovate for tangible impact. You’ll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher’s system of continuous improvement, you help turn ideas into impact – innovating at the speed of life.

At Beckman Coulter Life Sciences, we know time is the most critical facet in the laboratory today: time to get life‑saving therapies to patients faster; reclaiming time by automating tedious manual workflows; and saving time spent addressing erroneous or complex results. We are partners in time and accelerate answers to critical questions through the power of automation. We develop innovations for scientists by scientists, with many of our 3,300+ global colleagues coming from the laboratory.

It’s all part of our time-tested approach to bringing meaningful innovations at the speed of life since 1935. And we’re just beginning. Working together, let’s put our time and talents together to advance human health for tomorrow. Learn about the Danaher Business System which makes everything possible.

The Backend & AI Platform Engineer is responsible for creating the backend platform that powers intelligent automation across scientific workflows. By enabling AI agents to securely access data, orchestrate experiments, and integrate with complex instrument ecosystems, this role directly drives platform scalability, customer value, and the company’s ability to deliver next generation AI‑enabled laboratory operations.

This position reports to the Senior Manager, Software Engineering - Automation and is part of the R&D Software team located in San Jose, California and Indianapolis, Indiana.

• Architect and develop event‑driven backend services and APIs that connect laboratory instruments, cloud infrastructure, and AI agents into a unified platform.
• Design scalable data and context management solutions for LLM‑powered systems, including retrieval pipelines, memory, state management, and tool integration frameworks.
• Build and maintain orchestration services that coordinate planning, execution, monitoring, and recovery across heterogeneous AI agents, devices, and software systems.
• Define and govern data contracts, integration standards, and observability practices to ensure reliable, secure, and resilient communication across instrument fleets and platform services.
• Rapidly prototype and evaluate emerging AI and agent technologies, then mature successful solutions into production ready capabilities that meet the performance, reliability, and compliance requirements of regulated customer environments.

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field
• 7+ years of experience designing, building, and supporting distributed backend systems and APIs
• Proven experience developing and operating event driven architectures, microservices, and cloud native applications using platforms such as AWS, Azure, or GCP
• Hands‑on experience building LLM‑powered applications or multi‑agent systems, including orchestration, tool integration, retrieval architecture, and context management
• Strong expertise in API design and scalable backend architecture, with demonstrated ability to rapidly prototype new solutions while maintaining a clear path to production quality enterprise ready implementations

• Ability to travel up to 15% domestically and internationally

• Laboratory informatics platforms and standards such as LIMS, ELN, and SiLA 2, including integration with scientific instruments and laboratory workflows.
• Working in regulated or compliance driven environments, including GxP, HIPAA, SOC 2, or similar frameworks

Beckman Coulter Life Sciences, a Danaher operating…