Build user-facing management UI and the supporting backend services (Go and/or .NET).
Design and prototype AI/ML-assisted features — predictive maintenance, smart diagnostics, and AI-assisted workflows.
Contribute to product specifications and API contracts; integrate with platform identity and data services.
Establish reusable AI patterns that can be generalized across the platform.
Apply agentic AI in the development and test workflow (AI-assisted coding, automated testing), and help migrate components from monolith toward microservices — moving workstation-based enterprise applications to a containerized client-server web model.
Bachelor's or Master's Degree or equivalent.
8+ years of full-stack software engineering (modern web frontend plus backend services).
Hands-on AI/ML experience — model integration, inference, and ideally predictive or diagnostic use cases.
Cloud-native development: Kubernetes, REST / gRPC, event-driven messaging; Go and/or .NET / C#.
Strong product sense and the ability to work spec-first in a regulated product domain.
Telemetry / IoT, fleet-management, or scientific software background.
Vector / RAG, MLOps, or edge-inference familiarity.
UI engineering with a modern component framework.
4+ years applying AI/ML in production, including building and deploying agentic AI in development and test tooling (AI-assisted coding, automated / AI-driven testing).
Deep, hands-on container orchestration (Kubernetes): containerizing services, deployment, and model serving / tuning.
Demonstrable hands-on experience in orchestrating modern Developer experience by engaging with DevOps and Platform teams
Experience delivering in rapid release cycles within a regulated environment (21 CFR Part 11 / GxP).
Experience converting legacy monolithic code into microservices — specifically workstation-based enterprise application to containerized client-server web application transformation.
Additional Details
This job has a full time weekly schedule. Applications for this job will be accepted until at least June 24, 2026 or until the job is no longer posted.The full-time equivalent pay range for this position is $172,512.00 - $269,550.00/yr plus eligibility for bonus, stock and benefits. Our pay ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. During the hiring process, a recruiter can share more about the specific pay range for a preferred location. Pay and benefit information by country are available at: https://careers.agilent.com/locationsAgilent Technologies, Inc. is an Equal Employment Opportunity and merit-based employer that values individuals of all backgrounds at all levels. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to sex, pregnancy, race, religion or religious creed, color, gender, gender identity, gender expression, national origin, ancestry, physical or mental disability, medical condition, genetic information, marital status, registered domestic partner status, age, sexual orientation, military or veteran status, protected veteran status, or any other basis protected by federal, state, local law, ordinance, or regulation and will not be discriminated against on these bases. Agilent Technologies, Inc., is committed to creating and maintaining an inclusive in the workplace where everyone is welcome, and strives to support candidates with disabilities. If you have a disability and need assistance with any part of the application or interview process or have questions about workplace accessibility, please email [email protected] or contact +1-262-754-5030. For more information about equal employment opportunity protections, please visit www.agilent.com/en/accessibility.Travel Required: 10% of the TimeShift: DayDuration: No End DateJob Function: R&DSkills Required
- Bachelor's or Master's degree or equivalent
- 8+ years of full-stack software engineering (modern web frontend plus backend services)
- Hands-on AI/ML experience including model integration and inference, ideally predictive or diagnostic use cases
- Cloud-native development experience: Kubernetes, REST / gRPC, event-driven messaging
- Backend development experience in Go and/or .NET / C#
- Strong product sense and ability to work spec-first in a regulated product domain
- Telemetry / IoT, fleet-management, or scientific software background
- Vector / RAG, MLOps, or edge-inference familiarity
- UI engineering with a modern component framework
- 4+ years applying AI/ML in production, including agentic AI in development and test tooling
- Deep, hands-on container orchestration (Kubernetes): containerizing services, deployment, and model serving/tuning
- Experience orchestrating developer experience by engaging with DevOps and Platform teams
- Experience delivering in rapid release cycles within a regulated environment (21 CFR Part 11 / GxP)
- Experience converting legacy monolithic workstation-based enterprise applications into containerized client-server web applications
Agilent Technologies Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Agilent Technologies and has not been reviewed or approved by Agilent Technologies.
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Retirement Support — The core U.S. package highlights a generous 401(k) match as a strength. Retirement programs are positioned as competitive within the company’s total rewards.
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Equity Value & Accessibility — An Employee Stock Purchase Plan at a discount provides accessible equity and augments total compensation. Ownership opportunities are presented as a notable advantage alongside retirement benefits.
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Leave & Time Off Breadth — Flexible Time Off, company holidays, a personal holiday, and paid volunteer time create a broad leave offering. Time off can accrue into multiple weeks in the first year, supporting flexibility.
Agilent Technologies Insights
What We Do
Analytical scientists and clinical researchers worldwide rely on Agilent to help fulfill their most complex laboratory demands. Our instruments, software, services and consumables address the full range of scientific and laboratory management needs—so our customers can do what they do best: improve the world around us. Whether a laboratory is engaged in environmental testing, academic research, medical diagnostics, pharmaceuticals, petrochemicals or food testing, Agilent provides laboratory solutions to meet their full spectrum of needs. We work closely with customers to help address global trends that impact human health and the environment, and to anticipate future scientific needs. Our solutions improve the efficiency of the entire laboratory, from sample prep to data interpretation and management. Customers trust Agilent for solutions that enable insights...for a better world.
