Top Remote AI Engineer Jobs

As an AI Tutor, you'll evaluate and improve AI-generated PHP code, write functional PHP backend solutions, and support AI model development.

Review and evaluate AI-generated Java code, write high-quality Java solutions, and explain coding concepts clearly, enhancing AI model training.

As an AI Tutor - C++, you will train AI models by reviewing AI-generated C++ code for accuracy, develop robust solutions, and provide feedback.

As an AI Tutor - TypeScript, you'll review AI-generated TypeScript code, solve development challenges, and provide guidance on type safety and best practices.

The role involves writing C++ code for real-time autonomous driving applications, collaborating with engineers, and developing features for driverless trucks.

Lead the design, implementation, and scaling of ML infrastructure and production AI systems. Optimize workflows, collaborate with teams, and mentor engineers.

This role requires a Senior UI/Frontend Engineer to build high-performance user interfaces for AI products, collaborating with design and backend teams.

Lead the development of AI products, design scalable systems, advance AI foundations, collaborate with stakeholders, ensure quality practices, and mentor engineers.

Develop scalable full-stack systems for an AI financial agent, build APIs, manage data pipelines, and collaborate on agent integration.

Lead the AI Compute team, overseeing the Kubernetes-based GPU platform lifecycle, enhancing ML engineering efficiency, security, and developer experience.

The Senior AI/ML Engineer will design, build, and deploy Generative AI and ML platforms, ensuring compliance and high performance. Responsibilities include developing foundational services, overseeing model training infrastructure, and mentoring junior engineers.

The Senior Full Stack Engineer will develop AI/ML features for ClickHouse Cloud, integrating AI capabilities and building user-friendly interfaces.

Design and implement AI-native backend infrastructure, build high-throughput systems for machine learning, and collaborate across teams to enhance AI applications.

As an AI/ML Ops Engineer, you will architect and operate ML pipelines, automate CI/CD processes, and collaborate with cross-functional teams to enhance engineering productivity.

The AI Search Engineer will design and implement Azure AI Search solutions, create search experiences using semantic ranking and vector search, and develop user-friendly interfaces for legal tech.

The Senior AI Systems Engineer will develop and evaluate AI systems for crime prevention, focusing on optimizing system performance and accuracy through rigorous testing and technical architecture design.

The Solutions Engineer will drive the adoption of AI-powered solutions in the electric utility sector, providing technical consulting and customer enablement. Responsibilities include gathering requirements, architecting solutions, leading RFI/RFP processes, and delivering training. Extensive travel is required for client engagement.

Develop and optimize AI-driven solutions for healthcare automation, integrating features, and collaborating with engineers to address business needs.

The Lead Data Engineer will manage the AI Data Platform, scale data pipelines, ensure data quality, and lead technical strategy for data initiatives.

The Senior Software Engineer will innovate in AI, lead software development lifecycle, design microservices, mentor peers, and ensure engineering excellence.

The Staff AI Infrastructure Engineer will design, automate, and manage scalable infrastructure for AI model deployment, ensuring security compliance and performance optimization.

Design and implement AI-powered automation systems, build scalable backend services, make architectural decisions, and collaborate with product and data teams.

You will design and manage Azure platforms focusing on security and compliance, support DevOps processes, and leverage AI for operations. Responsibilities include threat detection, incident response, client engagement, and creating frameworks for compliance.

The AI Innovation Specialist at Kasa drives operational efficiency via automation, identifies workflows for AI implementation, and collaborates cross-functionally to enhance productivity.

Join TensorOps as a Junior AI/ML Engineer. Work on AI and ML projects, receive mentorship, and contribute to production-grade systems.