Top Artificial Intelligence Software Engineer Jobs

The role involves building and maintaining backend systems, APIs, and integrations for Evertune's AI marketing platform, focusing on scalability and performance across various customer workflows.

As a Senior Fullstack Software Engineer, you will design and build fullstack systems for AI agents, collaborating with engineering, product, and design teams while documenting findings and participating in technical discussions.

Build across the full stack to create and iterate on AI agent products. Conduct user interviews, prototype features, ship frontend and backend code, collaborate with design, and help define product roadmap and direction for a 0-1 product.

Build and ship full‑stack web features end-to-end using React/TypeScript and Node.js. Partner with Product, Design, and Data to deliver reliable, well-tested software, set and uphold code quality, make technical decisions, and mentor others (at senior level). Own features from design through production and improve tooling, testing, and observability to increase team velocity.

As a Full Stack Engineer, you will design, develop, and deploy backend services and user-friendly frontend applications while collaborating with the team to implement new features and improve processes.

The Senior Machine Learning Engineer will develop NLP solutions, manage datasets, optimize performance metrics, and work on ML applications for healthcare.

The role involves extending and optimizing a Rust trading engine, integrating trading venues, contributing to GCP migration, and mentoring junior engineers.

The Application Software Engineer will develop and validate the AI software stack for autonomous vehicles, focusing on integration and performance on customer hardware platforms. Responsibilities include software bring-up, system diagnostics, and collaboration with cross-functional teams.

Design and develop high-performance distributed software for scalable AI training systems, focusing on data pipelines and system efficiency.

Lead Forward Deployed Engineering to scale customer implementations of Accrete's AI platform from discovery to production. Build operating models, delivery standards, staffing plans, and playbooks; manage and mentor teams; partner with Product, Engineering, Research, and customers to ensure secure, reliable, and scalable deployments with measurable impact.