Top Remote Senior Level Artificial Intelligence Software Engineer Jobs

The Customer Facing Engineer will drive customer onboarding, resolve issues, and enhance AI workflows in SAP environments while ensuring successful customer experiences.

Build and own real-time security dashboards, event triage UIs, and fleet management tools. Implement interactive UIs (canvas rendering, data visualization, WebRTC), extend GraphQL APIs and Django backend, optimize PostgreSQL schemas, ship end-to-end features, collaborate with ML teams, maintain observability, and participate in code reviews and on-call rotations.

Lead the development of device intelligence and fingerprinting systems by designing backend services, collaborating on integrations, and applying advanced machine learning algorithms to enhance security and combat fraud.

Lead design and delivery of enterprise-grade integrations between Albert OS and partner systems (ERP, PLM, LIMS, ELN, lab automation). Architect webhook/event-driven pipelines, build SDKs and integration frameworks, ensure multi-tenant security, mentor integration engineers, and work with partner teams to implement scalable, secure integrations compliant with enterprise standards.

The Staff/Principal Software Engineer will work in a remote global team, addressing software engineering challenges while fostering collaboration and clear communication.

Lead development of backend systems and integrations to ingest and process large-scale data, design secure multi-tenant SaaS architectures, own APIs and platform work, mentor engineers, author technical proposals, and troubleshoot production issues to minimize downtime.

As a Senior Full Stack Software Engineer at Doxel, you will design and develop applications for project management, focusing on complex data handling and intuitive UI. Your role involves collaborating across teams and providing technical leadership in software projects.

The role involves architecting scalable backend systems for real-time evaluations, integrating with streaming data, and building intervention layers for AI applications. You'll design frameworks and operationalize vector databases while ensuring low-latency service performance.

Founding member of the Developer Experience team building profiling, debugging, and performance-introspection tools for a compiler stack. Create client-side tooling to surface server-side compiler telemetry, expose hardware performance and interrupt data, develop GPU debugging visualizations, define debug/data-exchange formats, and collaborate with engineering teams toward internal and external tooling.

Design, build, and optimize scalable real-time and batch data pipeline infrastructure. Develop backend features focused on reliability and performance, write well-tested code, review technical designs, and contribute to infrastructure across mobile, desktop, and server systems.