San Jose, California, United States
Onsite
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 job_posting@agilent.com or contact +1-262-754-5030. For more information about equal employment opportunity protections, please visit www.agilent.com/en/accessibility.Want to know if this job is worth applying to?