Top Software Engineer Jobs

The AI Kernel Engineer will develop and optimize AI kernels for Quadric's platform, enhancing performance across various hardware configurations and providing technical support.

The Associate Director of Generative AI Engineering will lead the integration of advanced AI technologies, develop a Generative AI roadmap, and manage teams for AI-driven innovations in the pharmaceutical industry.

Lead the design and development of web applications, data pipelines, and AI systems, integrating data, mentoring engineers, and ensuring high-quality software delivery.

Lead the development of AI systems for Governance, Risk, and Compliance, focusing on model accuracy and responsible AI design.

As an Applied AI Engineer, you will create AI systems for Governance, Risk, and Compliance, focusing on accuracy, innovation, and responsible design.

Develop backend services and user-facing features, optimize AI products, and collaborate with teams while leveraging extensive experience in cloud infrastructures.

Drive full-stack development of tooling, backend services, APIs, and internal systems for Yahoo's design system. Collaborate with cross-functional teams to optimize efficiency and performance.

As a Senior Staff Engineer, you will lead engineering teams, provide technical solutions, mentor junior members, and drive quality in enterprise applications with focus on voice technologies.

The Staff Engineer leads engineering teams to develop high-quality enterprise-class applications, mentoring junior members and ensuring the usability and performance of solutions.

Develop and deliver features for SaaS applications with a focus on modernization using Azure, C#, and AI tooling, while collaborating with teams.

Lead modernization and enhancement of SaaS applications within Azure architecture, design scalable features, implement CI/CD pipelines, and mentor developers.

Drive development of AI systems for education, enhancing grading, analytics, and student engagement. Collaborate with teams to architect scalable solutions.

The Applied AI Engineer will design and build autonomous systems using AI tools, develop workflows, evaluate models, and partner with stakeholders.

Manage customer delivery projects, create federated AI pipelines, support users with project management, technical issues, and communicate updates effectively.

As a Senior Software Engineer, you'll lead the development of user-facing AI-driven applications and backend services, mentor engineers, and set technical direction.

The Applied AI Engineer will create POCs from customer use cases, prototype AI solutions, and collaborate with teams to integrate AI tools effectively.

Lead the Applied AI Engineering team, mentor engineers, drive development of AI agents, and ensure delivery of enterprise-ready solutions through strategic direction and collaboration.

As a Staff Engineer, you will shape the technical direction of the platform, mentor engineers, and design scalable systems across frontend, backend, and infrastructure layers.

The Senior Software Engineer will architect and optimize the LLM-powered coaching platform, collaborate across teams, debug issues, and advocate for a strong engineering culture.

As an Applied AI Engineer, you will develop AI-driven leadership coaching solutions, optimizing models for enterprise use, and driving product innovation through generative AI applications.

Design and implement AI chat integrations, focusing on scalable APIs and system architecture. Collaborate with teams to enhance AI interactions.

The role entails developing AI/ML applications, collaborating across teams, optimizing code, and mentoring juniors while focusing on user experience.

Design and optimize AI and content components for gameplay, mentor teams, and ensure technical excellence in game design.

Machine Learning Systems Engineers will develop end-to-end 3D machine learning systems, optimize training pipelines, and improve model performance within a collaborative team.

The Software Engineer will build and scale AI platform infrastructure, develop reusable libraries, and enhance developer tools for AI-driven products.