Skip to main content
Back to jobs

Senior Software Engineer - Full Stack & AI Platforms

External
Agilent logoAgilent · CA Santa Clara
Full-timeOn-siteToday
AccessibilitygRPCIoTKubernetesMicroservicesMLOps
Cover LetterConnect

Prepare for this interview

Elite

AI-generated questions, company research, and talking points tailored to this role


Responsibilities

  • 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.

Requirements

  • Required qualifications
  • 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.
  • Travel Required:
  • 10% of the Time
  • Shift:
  • Day
  • Duration:
  • No End Date
  • Job Function:
  • R&D

Benefits

Equity / stock optionsPerformance bonus

Additional Information

Job Description We're looking for a senior full-stack engineer to build modern, user-facing applications and backend services while embedding AI-driven capabilities-such as predictive maintenance and smart diagnostics-into a regulated product environment. You'll partner closely with the technical lead and play a key role in shaping both the architecture and developer experience.


Your Match

How well this role fits your profile.

Company Intel

What employees say

Worked at Agilent? Share your experience

Interested in this role?

Apply on the company's website.

Cover LetterConnect