Top Artificial Intelligence Software Engineer Jobs

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.

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.

Build and scale frontend and AI-powered web experiences using TypeScript, React, and Next.js for a B2B commerce platform. Collaborate with designers and engineers, contribute across the stack, establish best practices, and run rapid experiments with AI tools to productionize features.

As a founding engineer you will design and build the core platform: event-driven agent framework, shared memory, tool orchestration, APIs, early-intervention systems, and the virtual clinic. Own products end-to-end from customer discovery to production, ship AI/ML solutions, ensure real-time scale and measure impact.

Design, build, and operate large-scale distributed production systems focused on latency, reliability, and correctness. Own systems end-to-end, reason about architecture and failure modes, optimize performance vs. correctness, and ship production-quality infrastructure rapidly in an early-stage startup environment.

As the second engineer, you'll own core real-time voice→intent→action systems, design APIs/services for long-running stateful agent tasks, ship polished user-facing features, and improve reliability, observability, and performance. You will influence product direction and company culture while operating end-to-end from design through production and iteration.

Build scalable backend systems for policy management, real-time decision workflows, agent orchestration, integrations, and observability. Design APIs and data models across relational, NoSQL, and graph stores, implement telemetry/auditability, and operate services in production while collaborating with product and engineering to shape requirements and rollouts.

Work on the customer-facing full‑stack product for warehouse packing: design and implement frontend, backend, and cloud infrastructure; own deployments, monitoring, and fixes; collaborate with product and customers; improve CI/CD, testing, and observability; use AI tools in the development workflow.