Top Artificial Intelligence Software Engineer Jobs

Develop and maintain language frontends for the Joern platform for automated software vulnerability analysis, collaborating with a global team.

The AI Solutions Architect will design and implement AI solutions, architect AI infrastructure, lead initiatives, and mentor teams while ensuring alignment with business objectives.

Build and maintain high-performance backend services for a real-time bidding DSP. Optimize distributed, low-latency systems handling millions of queries per second, integrate ML inference into production, improve scalability and observability, participate in design and code reviews, mentor junior engineers, and maintain high engineering quality and reliability.

Design and evolve frontend platform primitives for a canvas-based workflow builder, improve real-time collaboration, optimize rendering and performance, own architecture and modularization, drive RFCs, mentor peers, and collaborate cross-functionally to enable scalable, high-performance user experiences across cloud and self-hosted deployments.

Design, build, and maintain cross-platform React Native mobile apps for clinicians (iOS/Android). Translate clinical workflows to reliable, performant offline-capable experiences, instrument and monitor production apps, and shape mobile architecture and roadmap while ensuring PHI/privacy and regulatory compliance.

Own and build core data infrastructure for an AI-driven logistics platform: design and scale distributed backend systems, queues, databases, and real-time search; ensure reliability and performance; set backend technical direction; mentor hires and collaborate closely with founders in San Francisco.

Own end-to-end solution design and integrations for strategic enterprise accounts, connecting interface.ai's platform to core banking, telephony, and contact center systems. Serve as primary technical contact, deliver architecture blueprints and integration specs, lead production issue resolution, support pre-sales discovery, and produce reusable integration assets while feeding product and engineering with structured feedback.

Own technical relationships with large enterprise customers: lead architecture reviews and technical planning, manage implementations and releases, coordinate multi-team deployments and integrations, design solutions aligned with customer security and infrastructure, and translate customer needs into engineering and product work.

Lead a remote engineering org to define scalable SaaS architecture, build enterprise-ready platform foundations (reliability, observability, security), drive execution and delivery cadence, hire and develop engineering talent, and translate business priorities into technical plans while working with ML/AI and ad-tech use cases.

Lead full-stack development of the Artificial Analysis website using a TypeScript/Next.js stack. Build UI and data visualizations, maintain PostgreSQL databases on Supabase, improve DevOps/CI/CD, mentor a small engineering team, and leverage LLMs and AI tools to accelerate development.