Top Artificial Intelligence Software Engineer Jobs

As a Founding Engineer, you'll develop backend systems, optimize applications, and influence technical direction for an AI-powered knowledge platform.

The Full-Stack Engineer will develop and maintain web applications, translating UI/UX designs into responsive apps, optimizing applications, and writing clean code.

Design and build AI-first data systems, focusing on architecture, developer experience, and cross-stack execution while mentoring engineers.

The Backend Engineer will design and scale systems for an AI-driven research platform, contribute to product decisions, and enhance system reliability and performance.

Build and maintain scalable backend systems and APIs that integrate AI models into customer-facing applications. Drive architecture and scalability decisions, collaborate with AI and frontend teams, and ship iterative features in a fast-paced startup.

Lead end-to-end product initiatives integrating LLMs and autonomous agents into production workflows. Build modern web applications, work directly with MSP partners, observe user workflows, ship production-grade features, and iterate on results to improve operational outcomes.

Lead end-to-end product initiatives that integrate LLMs and autonomous agents into production workflows for MSPs. Ship features, measure impact, iterate, conduct user research, and build reliable modern web applications used by technicians.

The Software Engineer will develop and maintain scalable backend systems, manage big data systems, and integrate cloud services, especially AWS, ensuring security and performance while providing mentorship to junior engineers.

As a Software Engineering Intern, you'll assist in developing scalable backend systems, integrating AWS services, managing big data systems, and ensuring application security.

As a Solutions Engineer at BREV/ΛN, you will conduct product demos, assist customers in setup and integration, while providing feedback for product development.

As a Data Engineer, you'll build and maintain data pipelines, work with ML teams, and ensure the data integrity for analysis and AI-driven products.

As an engineering intern at Exa, you'll engage in various projects related to building a search engine and infrastructure for AI applications, focusing on performance and database optimization.

As a Research Engineer, you'll lead and optimize large-scale synthetic data generation and AI inference pipelines, while contributing to open-source projects and publishing research.

Lead and manage enterprise-scale Hadoop/Cloudera environments, oversee ETL pipeline design, manage data engineering teams, ensure security and governance best practices.

As a Forward-Deployed Engineer, you'll partner with customers and teams to implement AI-powered workflows, troubleshoot issues, and ensure smooth operations.

The Full Stack Engineer will develop and maintain software products, integrating AI, building user interfaces, and collaborating with various teams to enhance logistics operations.