Top Artificial Intelligence Software Engineer Jobs

The Senior Product Engineer will develop a shared technology platform, focusing on full-stack development and AI agents for workflow automation, collaborating directly with end users.

Build and maintain the frontend architecture, design system, and UI testing framework for an agentic AI security product. Create reusable components and agentic UIs, collaborate with cross-functional teams, coach engineers, and ship end-to-end B2B product experiences that make complex security workflows clear and actionable.

Build end-to-end AI-native product features: design backend (APIs, DB), build frontend, deploy and test. Partner with founders, designers, and legal users, use coding agents and MCP servers to scale the platform and ship high-quality ML/LLM-powered workflows.

Develop scalable full-stack components for AI systems, design APIs, manage cloud infrastructure, and evaluate AI agent performance.

The Staff Forward Deployed Software Engineer will lead technical discovery, own system architecture, develop AI and automation solutions, and ensure production excellence while working closely with clients and operators.

As a Software Engineer in MES, you'll develop and scale systems that manage automated materials synthesis, focusing on scheduling, workflow orchestration, and ensuring accurate data provenance.

As a Staff Product Engineer, you'll lead complex technical initiatives, align product and engineering, mentor engineers, and improve systems within a fast-paced environment.

Design, build, and maintain end-to-end full‑stack features across Python/FastAPI backend, Next.js frontend, and LLM inference pipelines. Collaborate cross‑functionally to deliver scalable AI-powered patent analysis, optimize performance, address production issues, and reduce technical debt while improving engineering practices.

The Software Engineer will design and build backend systems and data pipelines for healthcare, integrate AI models, and ensure end-to-end feature delivery.

Lead and own Arcade's mission-critical commerce and operations platform: architect scalable microservices and APIs, manage order fulfillment and pricing engines, build reliable GPU inference infrastructure for image generation, and provide client SDK/integration layers. Work with executive and product leadership to ensure reliability, scalability, and maintainability as the system scales to millions of users.