Top Artificial Intelligence Software Engineer Jobs

The Principal Technical Artist will enhance workflows and build tools using Unreal Engine and Houdini while optimizing performance and integrating AI technologies.

The Principal Solutions Architect at Maven must design and validate complex AI architectures, guide deployments, and transform customer needs into reusable assets for enterprise solutions.

Hands-on senior full-stack engineer leading end-to-end delivery across backend services and modern web/mobile UIs. Pair-programs, practices TDD, guides architecture for scalability and observability, mentors developers, collaborates with designers and product, and explores GenAI patterns to improve mobile and cross-platform solutions.

Build and maintain customer-facing application features, REST APIs, backend services, and data workflows. Collaborate cross-functionally, write tested code, participate in design and code reviews, debug and monitor production, and work with relational and non-relational databases and cloud platforms.

The role involves designing data ingestion and processing systems, writing scalable backend applications, and optimizing performance of business-critical endpoints.

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, 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.