Top Remote AI Engineer Jobs

The AI Optimization Engineer will define optimization strategies, design algorithms, and collaborate with teams to deliver solutions for process manufacturers, focusing on real-world impact and technical achievement.

Design, develop, and maintain an AI platform; optimize cloud infrastructure; integrate AI with blockchain systems; ensure security; innovate with trends.

The role involves developing AI systems software, implementing and optimizing kernels for AI workloads, and collaborating on deep learning frameworks and libraries.

The Senior Backend Engineer will design and build a unified AI platform infrastructure, manage AI model integrations, ensure reliability, and support new AI feature deployments.

Design and implement backend services for an AI-driven automation platform, focusing on LLM orchestration, API development, and system reliability.

As a Staff AI Engineer, you'll design and maintain the AI platform, develop APIs, enhance automation tools, and mentor engineers while ensuring responsible AI use within the company.

The Principal Engineer will lead AI-driven productivity initiatives, develop a strategy for integrating AI in engineering workflows, and improve collaboration across teams. Responsibilities include executing projects, ensuring code quality, and setting success metrics.

Design and develop web applications for ML dataset generation and data search. Mentor junior engineers and collaborate with cross-functional teams.

As a Senior Software Engineer, you'll design and build data applications while collaborating with cross-functional teams and mentoring junior engineers.

The Senior Software Engineer will enhance AI data applications by collaborating with teams, designing and building data curation and search apps, and mentoring juniors.

The Senior Software Engineer will drive the development of ML dataset generation and data search applications, mentoring junior engineers and collaborating with cross-functional teams.

As a Senior Application Developer, you will define, develop, and deploy software solutions, collaborate with clients, and implement AI features within applications.

The Adversarial AI & Research Engineer leads adversarial testing, innovates AI attack techniques, builds security tooling, and partners across teams to enhance AI security.

The Senior Deployment Engineer role focuses on technical implementation and integration of AI agents within customer environments, diagnosing issues, building custom solutions, and enhancing deployment processes while ensuring customer satisfaction with technical accuracy.

The role involves developing AI-driven compiler technologies, optimizing workflows, integrating learning systems, and collaborating on next-gen compiler capabilities for improved performance.

As a senior software engineer at NVIDIA, you will design and build tools for performance analysis of AI workloads, lead automation efforts, and enhance workflows for engineers.

The AI Tooling Engineer will build and maintain AI tooling for developers at Supabase, ensuring reliable products and improved user experiences, particularly in debugging and documentation.

The Staff MLOps Engineer will develop and oversee the AI/ML platform, focusing on the Synthetic Data initiative and ensuring efficient ML lifecycle management, training infrastructure, model serving, and mentoring.

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.

Lead architecture and implementation of conversational AI systems, build scalable backend services and REST APIs, drive high-impact projects, integrate external partners and carriers, collaborate with Data Science on ML/LLM solutions, and ensure platform performance and scalability.

Design and build applications in Python, collaborate with clients, optimize performance, and ensure code quality in AI-driven projects.

Lead design and delivery of platform features, mentor engineers, implement backend services in Python and React, ensuring high-quality engineering.

The AI Assisted Software Engineer will design and develop enterprise software solutions, utilizing AI-assisted tools, and architect scalable systems while collaborating across teams to improve business operations.

As a Senior Software Engineer II, you will design and build AI-integrated features for Life360's mobile app, focusing on safety and connectivity for users like aging parents and pre-teens. This role requires strong full-stack and mobile development skills, along with experience in AI workflows.

The Principal AI Platform Engineer will architect and build AI platforms for certification workflows, integrating tools and ensuring security, stability, and scalability while mentoring other engineers.