Top Remote AI Engineer Jobs

The Senior AI Automation Engineer will lead the design, development, and delivery of scalable AI automation solutions and data infrastructure, aiming to transform HackerOne into an AI-first organization.

The Software Engineer will design, build, and maintain features across platforms utilizing C#, ASP.NET Core, SQL, and React or Angular, while engaging with AI tools within a collaborative team environment.

The Quality Engineer, AI-Native designs and maintains automated tests for APIs and UIs, ensuring quality in AI-generated code delivery, collaborating closely with engineers and managing CI/CD processes.

Design and implement AI workflows, optimize data processing on AWS, improve transcript matching, collaborate with teams, and ensure deployment readiness.

The role involves developing cloud-native applications and AI features for data governance using Azure and Microsoft 365, focusing on security and compliance in regulated environments.

The AI Automation Engineer develops AI-driven systems to automate sales and marketing workflows, partnering with various teams to enhance revenue generation and process efficiency.

The AI/ML Engineer develops AI features for Cengage's educational products, focusing on enhancing student engagement and learning outcomes through shipping production AI capabilities.

Develop and support backend systems for CoLab's 3D AutoReview features, integrating machine learning concepts while collaborating across teams. Solve complex math challenges in 3D design analysis.

The Innovations and AI Solutions Engineer develops and optimizes AI solutions, manages data flows, implements machine learning models, and collaborates with users on data analysis and reporting.

The Junior Engineer, AI will develop AI-powered tools for public health, collaborating on application building, automation, and data analysis.

Life360 seeks a Senior Software Engineer to enhance AI-native mobile development tools. The role focuses on maintaining infrastructure for continuous testing and quality automation, collaborating with teams to improve product development, and applying AI insights for efficient workflows.

Responsible for designing, developing, and deploying AI-powered software solutions in healthcare, focusing on full-stack development and integrating AI tools into applications.

Design, develop, and deploy AI-driven healthcare solutions, conduct evaluations, mentor junior engineers, and ensure compliance with healthcare standards.

The Staff AI Engineer will design and build AI Assistants that automate workflows, integrate enterprise tools, and ensure systems are production-grade and secure. Responsibilities include developing APIs, enhancing assistant quality, collaborating with teams, and evaluating new AI models and tools.

The position involves designing and maintaining web applications with a focus on UI and UX, collaborating with teams, and utilizing AI tools for efficiency.

The AI Engineer will design and deploy AI applications, integrate data sources, implement evaluation frameworks, and ensure reliable AI outputs for federal clients.

Lead technical engagements and deploy agentic AI solutions for autonomous clinical development by collaborating with stakeholders and ensuring compliance in regulated environments.

The Staff Android Engineer will drive Android experiences across multiple features, ensuring cohesive user interfaces, unblock technical challenges, and promote AI-native practices, while mentoring teams and delivering high-quality code.

Seeking a Machine Learning Compiler Engineer with expertise in compiler technologies, machine learning, and software engineering to innovate in development tools and AI solutions.

The AI Application Engineer will design and deploy AI systems, collaborate with teams, implement Generative AI solutions, and promote continuous learning in AI practices.

The AI Infrastructure Specialist leads GPU infrastructure deployments, optimizes bare metal configurations, validates Kubernetes setups, and documents processes for customers to ensure self-sufficiency and scale operations effectively.

The AI Special Projects Engineer will work cross-functionally to build features, automate workflows, and create demos for Lightning Labs, focusing on AI-driven solutions.

The Forward Deployed Engineer will implement and adapt AI solutions for clients, ensuring adherence to standards, developing tools, and performing technical analyses.

The role involves developing data models, building data engineering systems, unifying healthcare datasets, and collaborating with various teams to create analytical solutions.

As a Principal Research Engineer, you will develop scalable data pipelines and generative AI tools for the AEC industry, collaborating across teams to enhance data for machine learning applications.