Top Artificial Intelligence Software Engineer Jobs

Build and operate cloud infrastructure for massively parallel simulations, including orchestration, scheduling, GPU pools, storage, and observability. Develop customer-facing web applications, SDKs, CLIs, dashboards, deployment pipelines, and agentic harnesses. Own system performance, reliability, cost, and integrations involving APIs, CI, data exchange, and authentication. Collaborate with customers and internal teams while shipping production-ready developer-facing systems.

Design, build, and optimize scalable backend services, APIs, and data pipelines. Integrate with third-party billing/commerce systems, maintain serverless/event-driven architectures on AWS, ensure security and performance, implement automated tests and CI/CD, mentor engineers, and drive architectural decisions.

Develop and maintain features for a React Native VoIP mobile app, integrate native Android/iOS modules when needed, collaborate with backend engineers on APIs and real-time communications, optimize performance, debug production issues, and contribute technical insights to the product roadmap.

Build and maintain scalable backend systems and data pipelines for healthcare workflows. Collaborate cross-functionally to automate provider and patient workflows, prototype features, ship production-ready code, and ensure systems are maintainable and scalable.

Lead frontend and full‑stack projects across Marimo's open-source ecosystem. Design simple, powerful editor experiences, build performant data visualizations and editor extensions, engage with the community, triage issues, and balance community needs with product roadmap.

Leads customer implementations of an AI-native supply-chain platform by working onsite with customer teams, mapping operations, configuring automations, shipping production code, and driving operational outcomes. Owns technical direction, prioritization, executive and IT relationships, and trade-offs. Manages and mentors Forward Deployed Engineers while traveling weekly and relocating full-time to San Francisco.

Build and manage Ironclad workflows, integrations, automations, reporting, permissions, and secure AI connections across Legal, Finance, RevOps, Sales, and other business systems. Develop reliable API integrations with monitoring, error handling, and retries; improve contract data visibility; administer releases and change management; troubleshoot issues, manage vendors, document processes, and train users.

Own end-to-end technical implementations for enterprise OEM customers, including discovery, integration design, coding, validation, and go-live. Build data ingestion pipelines connecting hardware, firmware, and backend systems to the cloud; troubleshoot edge-to-cloud workflows; translate customer needs into reusable platform components; and establish forward-deployed engineering processes. The role also involves customer collaboration, technical documentation, travel, and eventually hiring and leading junior engineers.

Lead software engineering for a digital marketing platform, defining technical vision and multi-year product roadmaps. Manage and mentor a team, oversee scalable architectures and API integrations, conduct code reviews, and collaborate with product, design, data, and technology teams. The role focuses on AWS-based systems, AI-driven automation, data unification, agile delivery, and building high-quality software solutions.

Work onsite with government customers to configure, customize, and support ConductorAI. Write production Python and TypeScript code, debug and improve reliability, gather user feedback, deliver technical demos, and collaborate with product to ship features. Travel frequently to customer sites and help automate operational workflows while contributing to company strategy and culture.