Top Artificial Intelligence Software Engineer Jobs

The Full Stack Engineer will build and maintain features across TypeScript, React, and Node.js. Responsibilities include designing APIs, scaling infrastructure, and owning projects end to end in a fast-paced, collaborative environment.

The Machine Learning Engineer will develop and enhance ML-powered products focusing on models, metrics, pipelines, and collaboration with product teams.

As a Full Stack Engineer, you'll work on both frontend and backend systems, focusing on customer-facing components and product features. You'll collaborate with various teams and be responsible for shipping high-quality software that addresses real customer needs.

The Backend Software Engineer will develop internal tools in Rust to enhance production efficiency, collaborating across teams and driving project ownership.

As a Senior Software Engineer, you will lead the development of AI-driven solutions, architect real-time simulations, and drive high-performance user experiences.

The Senior Software Engineer will architect production-grade systems using Python, lead best engineering practices, build tools for research teams, design CI/CD workflows, and mentor peers in a collaborative environment.

Design and build customer, agent, and partner interfaces end-to-end using React and TypeScript. Own the design system, accessibility, performance, and motion. Iterate rapidly with users and insurance experts, and craft AI-native surfaces that make autonomous agents feel trustworthy. Take features from sketch to production with full ownership.

Owner of end-to-end productionization of clinical AI use cases: scope with clinicians, build and evaluate agent-based workflows on the Carebricks platform, integrate with legacy systems and FHIR endpoints, debug production pipelines, and iterate platform changes to sustain clinical value.

Front-end focused Java Developer responsible for implementing UI mockups using HTML5, Angular, JavaScript and CSS, integrating with server APIs (JSON), debugging across browsers, and collaborating in Agile teams while communicating with clients.

Build and deliver backend Node.js services using JavaScript/TypeScript; design RESTful APIs and microservices; write high-coverage tests; use Docker, Kubernetes, CI/CD, performance tooling, and cloud platforms; troubleshoot and profile services in Linux.