Top Artificial Intelligence Software Engineer Jobs

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.

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.

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.

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.

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.

Develop and maintain HL7/FHIR and DICOM interfaces between the company's AI imaging system and hospital systems. Integrate heterogeneous on-prem and cloud networks, write/review/test code, work with IT teams and vendors, deploy to customer sites, and provide troubleshooting and ongoing maintenance.