Top Artificial Intelligence Software Engineer Jobs

The Staff/Principal Software Engineer will work in a remote global team, addressing software engineering challenges while fostering collaboration and clear communication.

As a Backend Software Engineer, you'll develop critical backend systems focusing on APIs, data processing, and infrastructure while ensuring high-quality service delivery and robust architecture.

The Staff Software Engineer role involves developing web APIs, leading a scrum team, and implementing scalable applications while ensuring high performance and quality in software development.

Lead solution architecture and delivery for AI-related projects in manufacturing. Collaborate with cross-functional teams to develop integrations and manage data pipelines while ensuring high quality and project success.

The Founding Forward Deployed Engineer will manage the technical aspects of enterprise sales, performing discovery, designing solutions, leading demos and pilots, and engaging with customers on-site to ensure successful implementation of AI solutions.

Lead end-to-end deployments of AI agents into customer web apps, debug DOM/rendering issues, build UI automation with Playwright/Puppeteer/CDP, tune AI orchestration and auth handling, partner with customer engineering, and codify repeatable deployment playbooks and tooling.

You will build and maintain AI-native application features, working with a team of AI and backend engineers to ensure quality and innovation.

Build and architect user-facing products and reusable UI component libraries using React, TypeScript, and Next.js. Design frontend systems, solve complex technical problems, and take on full-stack responsibilities at an early-stage, hybrid Palo Alto team.

Own Vega's technical vision and architecture, write and review code, build AI workflows into the claims platform, collaborate with product and claims teams, hire and develop high-performance engineers, and deliver scalable, production-ready systems from the ground up.

Design, build, and maintain full-stack tools and internal systems to operate autonomous lab robots. Ship end-to-end features across React frontends, Node and Python services, and AWS infrastructure. Collaborate with scientists, operations, and robotics engineers to integrate AI-driven workflows and improve experiment design, monitoring, and analysis.