Top Artificial Intelligence Software Engineer Jobs

The Python Automation Developer will design and implement automation solutions for healthcare Revenue Cycle Management using Python, Selenium, and OpenCV. Responsibilities include integrating solutions with existing systems, ensuring compliance with healthcare regulations, and supporting long-term automation operations.

The Forward Deployed Engineer integrates E2B into enterprise customer systems, ensuring technical success through custom deployments, debugging, and building repeatable assets while collaborating with both internal and customer engineering teams.

Develop and deliver new features for the Horizon Windows Agent, improve existing products, tools and processes, and resolve customer issues and escalations. Work involves C/C++ development on Windows, architecture and design of enterprise software, multithreading, OS internals, SSO, distributed systems, cloud platforms, and practical use of AI to boost productivity.

As a Staff Software Engineer, you will own the core systems for database architecture, caching, and performance optimization, ensuring reliable and scalable infrastructure for clinical workflows in healthcare. You'll design and implement systems to improve latency and reliability while managing multi-tenant data and compliance needs.

The Software Architect will design software architectures for mission-critical systems, oversee software design, ensure performance parameters, and mentor staff.

Seeking a full stack engineer to develop applications, requiring skills in Node.js, SQL, and modern JavaScript frameworks with a focus on scalability and performance.

Own customer deployments and rollouts of an AI product specialist: deploy, debug, train users, build deployment infrastructure and evals, define rollout metrics, gather product feedback, and push fixes. Travel frequently to dealerships and customer sites and work from San Francisco when not traveling.

Build and ship user-facing features across the stack, collaborate from concept to production, contribute to system design, iterate from user feedback and data, and own product-quality and performance improvements.

Design, build, and scale low-latency distributed platform components; define technical vision and architecture; collaborate with product and ML teams; evaluate build-vs-buy decisions; prototype research breakthroughs and deliver robust, production-grade services.

Own customer onboarding and implementations, integrate Stuut with ERPs (NetSuite, SAP, Salesforce), write production-quality code and automations, collaborate with Sales and Product, build documentation and internal tools, and travel to client sites to deploy solutions and gather product feedback.