Job DescriptionWe'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.
Key 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.
QualificationsRequired 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.
Preferred qualifications- 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 DetailsThis 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/locations
Travel Required: 10% of the Time
Shift: Day
Duration: No End Date
Job Function: R&D
