Top Remote Senior Level Artificial Intelligence Software Engineer Jobs

Develop open source SDKs, enterprise APIs, UIs, and backend systems supporting large-scale computer vision datasets. Build scalable, maintainable, performant, and well-tested software for unstructured data and AI workflows. Contribute to enterprise deployments across customer clouds and on-premises environments, while improving tooling, automation, engineering practices, and open source community initiatives in a remote-first team.

Drive revenue through enterprise deals as a Partner Solutions Architect, enabling partners, leading POCs, and designing scalable architectures for Netomi's AI platform.

As a Software Engineer, you will develop full-stack workflows, utilize LLMs and AI for document processing, and manage high-impact features while collaborating with the team and customers.

The Engineering Leader will oversee the architecture and reliability of AI improvement products, focusing on backend systems, scalability, and technical leadership.

The role involves building and delivering high-quality full-stack solutions with a focus on user experience and solving complex technical problems.

As a Senior Software Engineer, you will design and implement AI technologies to address complex logistics challenges and mentor team members.

The Senior Full Stack Developer will design, develop, test, and debug software solutions, collaborating with teams and optimizing applications. Responsibilities include user interaction design, back-end functionality, and ensuring software scalability and security.

Lead end-to-end full-stack engineering initiatives for Project Simulation and Asset Operations. Build scalable frontend and backend systems, ensure code quality, collaborate cross-functionally, debug production issues, and participate in on-call rotation.

Build and maintain resilient backend systems, participate across the product development lifecycle, collaborate with product and design, raise engineering standards, think through system lifecycles and failure modes, and contribute broadly at an early-stage fintech. Work primarily with backend technologies (Go preferred) and cloud/datastore tools.

Lead and scale the iOS mobile platform end-to-end: own architecture, roadmap, delivery, and reliability. Drive major performance and crash-rate improvements, build observability and automated testing, coordinate closely with Product/Design/Backend, and improve EHR integrations and technical debt while establishing mobile engineering processes and execution cadence.