Backend Engineer, AI Platform

Danaher Corporation

Backend and AI platform engineer building intelligent laboratory automation platforms for Beckman Coulter Life Sciences. Connecting instruments, cloud infrastructure, and AI agents across regulated scientific workflows.

Posted 8/26/2026full-timeSan Jose • California • 🇺🇸 United StatesSeniorLead💰 $150,000 - $200,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting and developing event-driven backend services and APIs, with a strong focus on scalable data management solutions for LLM-powered systems. Proven ability to design and implement reliable, secure, and resilient communication standards across diverse platforms and instruments.

Highest-signal resume keywords

Event Driven ArchitectureAPI DesignCloud Native ApplicationsLLM-Powered ApplicationsMicroservices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Backend DevelopmentDistributed SystemsData ManagementOrchestration ServicesTool IntegrationContext ManagementPrototypingPerformance OptimizationCompliance RequirementsIntegration Standards

Tools & Technologies

AWSAzureGCP

Industry Keywords

Laboratory InstrumentsAI AgentsR&D SoftwareRegulated Environments

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformMicroservices

About the role

Key responsibilities & impact

Architect and develop event-driven backend services and APIs connecting 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 coordinating planning, execution, monitoring, and recovery across heterogeneous AI agents, devices, and software systems
Define and govern data contracts, integration standards, and observability practices for reliable, secure, and resilient communication across instrument fleets and platform services
Rapidly prototype and evaluate emerging AI and agent technologies
Mature successful solutions into production-ready capabilities meeting performance, reliability, and compliance requirements of regulated customer environments
Report to the Senior Manager, Software Engineering - Automation as part of the R&D Software team

Requirements

What you’ll need

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
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

Benefits

Comp & perks

Health care program
Paid time off
Medical insurance
Dental insurance
Vision insurance
401(k)
Bonus/incentive pay eligibility
Reasonable accommodations for applicants and employees with disabilities