Top Artificial Intelligence Software Engineer Jobs

Design and build responsive, high-performance front-end interfaces for AI-driven finance workflows. Translate complex data into clear visualizations, balance automation with human control, collaborate with backend and AI teams, and own frontend architecture and design system standards.

Senior C# Engineer role (test posting) requiring about five years of experience developing applications using .NET Core and C#.

Lead full-stack development for an AWS-based product: design and implement backend, data, and web UI; integrate external APIs and AI/ML features; collaborate cross-functionally; improve architecture and engineering practices; mentor teammates and deliver high-quality, production-ready code.

Build scalable, accessible frontend components and UX for an AI-native data platform using React and Next.js. Implement dashboards, agent interfaces, and multi-tenant admin panels; integrate real-time and streaming data, APIs, and visualize high-dimensional data. Contribute to component libraries, design systems, and ship production-ready, responsive features.

Design, build, and maintain full-stack internal business systems using Java/Spring Boot backends, React/TypeScript frontends, PostgreSQL databases, Docker, and CI/CD. Collaborate on architecture, implement APIs and schema changes, ensure code quality, reliability, and work with distributed teams to deliver enterprise applications.

Design and implement low-level, high-performance storage and cloud-scale data infrastructure for ML domains, focusing on OS-level systems programming, performance engineering, data layouts, compression, and orchestration. Work onsite in NYC or London.

Backend-leaning full-stack role building and maintaining Svelte/TypeScript/Postgres applications, APIs, AI workflows, and database schemas. Design, implement, and ship end-to-end features, troubleshoot complex SQL, and support customer-facing integrations with legacy systems while managing multiple projects in a fast-paced startup.

Join the founding team to build full-stack web products for government partners. Design architecture, write code, build cloud deployments and data pipelines, learn customer needs, and deliver high-quality product improvements in a fast-paced startup.

Own and build core backend and infrastructure for document intelligence and VLM workflows. Architect, deploy, and scale high-throughput, low-latency production systems; manage deployments, monitoring, reliability, CI/CD, and enterprise cloud/on-prem environments. Turn research prototypes into production and support enterprise deployments.

Build and own full-stack features for an internal care navigation product using React and NodeJS. Partner with Product and Operations, monitor production (metrics, logs, Sentry), ship end-to-end, and adopt AI-assisted workflows to improve velocity and quality. Drive reliability, iterate on customer-facing operational tools, and raise engineering standards in a fast-moving startup.