AI R&D Engineer — Accelerate SDLC with AI

Keysight Technologies; Santa Rosa (CA); On-site; USD 129,000 - 216,000; Full time

Benefits offered by this job

Medical, dental and vision

401(k) Plan

Flexible Time Off

Tuition Reimbursement

ESPP

Job summary

Keysight Technologies is seeking an AI R&D Engineer to accelerate the SDLC with AI-driven applications and agentic workflows. You will design production-grade AI features, leverage LLMs, and integrate with Jira, Confluence, and CI/CD pipelines in a global engineering context.

You will collaborate across teams to ensure secure, compliant AI use, build robust APIs, and enable telemetry reporting that captures real-time value from AI tools.

Qualifications

• 4–8 years in computer/software engineering with hands-on AI/ML development or integration.
• Strong programming in Python and at least one of C#/TypeScript/JavaScript.
• Experience designing robust APIs with REST/GraphQL and building microservices.
• Practical AI/ML experience with LLM tooling, RAG, and model safety considerations.
• Cloud and DevOps experience (Azure preferred) including CI/CD, containers and observability.
• Familiarity with Bitbucket/GitHub, Jira/Confluence, and secure coding practices.

Responsibilities

• Design and deliver AI-powered features that accelerate SDLC and developer experience.
• Integrate AI solutions into central toolchains and SDLC workflows.
• Create agentic workflows and robust APIs/microservices for internal use.
• Develop telemetry dashboards to monitor adoption and value of AI tools.
• Collaborate with security and product teams to ensure governance and safety.

Skills

Python

C#

JavaScript/TypeScript

REST/GraphQL APIs

Microservices

LLM tooling

RAG

PyTorch/TF

Azure/AWS cloud

DevOps/CI-CD

Security

Education

Bachelor's or Master's in CS/EE

Tools

Bitbucket

GitHub

Jira/Confluence

Artifactory

Docker

Kubernetes

Jenkins

Job description

Keysight Technologies is seeking an AI R&D Engineer to accelerate the SDLC with AI-driven applications and agentic workflows. You will design production-grade AI features, leverage LLMs, and integrate with Jira, Confluence, and CI/CD pipelines in a global engineering context.

You will collaborate across teams to ensure secure, compliant AI use, build robust APIs, and enable telemetry reporting that captures real-time value from AI tools.