Top Artificial Intelligence Software Engineer Jobs

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.

Build end-to-end features across frontend and backend for the Mem0 platform using Next.js and Python. Design APIs, UIs, backend services, and data models; optimize performance and reliability; write tests and operate production systems; collaborate with design, research, and customers to deliver scalable AI memory product experiences.

Lead the frontend of a proprietary AI platform: design and build reusable components, craft interaction patterns and workflows, prototype and deliver polished, high-performance UI experiences, and maintain platform building blocks for customer projects.

Design and implement code generation features for a heterogeneous AI compiler, optimize low-level target-specific code, apply parallelization and kernel generation techniques, use performance data to guide improvements, and collaborate with product teams to align compiler architecture with ML needs.

Build and ship integrations between Levelpath and enterprise systems (ERP, HRIS, SSO, ticketing, e-signature) using TypeScript/NestJS/Postgres. Lead technical customer calls, debug auth flows, guide GraphQL API adoption, harden data pipelines (validation, retries, idempotency), anchor US-hours on-call, and feed field learnings back into the agent-driven platform and tooling.

Develop and maintain Canvas and model-driven Power Apps, build Power Automate flows, integrate Office 365 and SharePoint Online, connect to Dataverse and premium connectors, and implement basic workflow automation.

Build and scale a live ML data streaming analytics platform, lead greenfield real-time processing projects (Python/Rust), and design reliable backend services using cloud and orchestration tools.

Lead design and operation of the Synapse Everywhere external API platform: define API surface and guarantees, translate product and clinical requirements into contracts, own reliability and on-call incident response, provide technical mentorship and code reviews, and design scalable, secure cloud-native solutions (k8s, LLMs) with strong developer experience.