Top Artificial Intelligence Software Engineer Jobs

The AI Runtime System Software Engineer will design and implement system software components, optimize ML workloads, and collaborate with hardware teams, requiring strong Linux and C programming experience.

Build and own a multi-tenant platform connecting enterprise customers and sovereign deployments to inference infrastructure. Responsibilities include authentication, tenant isolation, quotas, rate limiting, usage metering, entitlements, public inference APIs, SSO, access controls, audit logs, data residency, and security testing. The role requires strong Python and backend or platform engineering expertise, API design experience, and familiarity with billing, credits, reconciliation, regulated environments, and enterprise identity systems.

Build production-grade connectors and integrations in Trustible’s core Django application. Work directly with customer technical teams to scope integration needs, develop tested and maintainable code, debug live customer issues, identify reusable integration patterns, and partner with engineering on connector architecture. The role includes approximately 10% travel for on-site customer engagements.

Build and own backend services that analyze patient medical charts, identify diagnoses, and surface supporting clinical evidence. Lead projects through the full lifecycle, make architectural decisions, design clinical data models and service contracts, improve system reliability and performance, mentor engineers, collaborate with clinicians and product teams, and participate in on-call, monitoring, and production support.

Design, develop, and deploy web and cloud applications using .NET, C#, Azure, Angular, React, and related technologies. Collaborate with clients to gather requirements, define goals, and recommend solutions. Participate in Agile/Scrum planning, code reviews, mentoring, testing, and DevOps practices. Explore AI-assisted development tools and help establish effective AI workflows. The role involves continuous learning, client engagement, and delivery of enterprise software and AI automation solutions.

Designs, develops, tests, and maintains complex, scalable software systems. Contributes to architecture, distributed systems, cloud-based solutions, technical projects, troubleshooting, automated testing, and continuous integration. Collaborates with product, design, architecture, and cross-functional teams while mentoring junior engineers and supporting technical decision-making. Evaluates new technologies and drives improvements in software quality, reliability, performance, and development efficiency.

The role involves developing and managing key components of Sphere's platform, such as the tax engine and filing infrastructure, while mentoring other engineers and improving efficiency based on customer feedback.

The Forward Deployed Engineer designs, builds, and deploys workflows or applications while serving as a trusted technical advisor to clients, ensuring AI performance and safety.

As an AI Applications Engineer, you will bridge AI research and implementation, driving experiments, building infrastructure, and releasing products to improve user experience and metrics.

As a Founding Software Engineer, you'll build and scale core systems, develop products for pilots, integrate data and AI, and shape architectural decisions.