Top Remote AI Engineer Jobs

The AI Software Engineer will design and implement AI solutions, lead pilot programs, and integrate AI into existing systems while ensuring optimal performance and scalability.

The Senior Power System Studies Engineer designs and applies AI/ML techniques for power system optimization, conducts simulations, and mentors junior engineers.

Develop and enhance web applications using C# .NET and Angular. Collaborate with teams, implement UI/design concepts, and maintain code standards.

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.

Design and develop enterprise-grade software leveraging machine learning technologies. Collaborate with teams to meet project requirements and write maintainable code.

Design innovative tools and experiences for developers using AI, advocate for AI benefits, collaborate with teams, and manage large projects.

As a Senior Staff Machine Learning Engineer, drive AI safety initiatives, design monitoring systems, and collaborate cross-functionally to ensure robust, safe AI usage in community support products.

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 Senior Software Engineer will design, develop, and optimize AI-driven data processing systems, focusing on high-volume telemetry data and machine learning infrastructure while mentoring junior engineers.

The Senior Staff Software Engineer will lead architecture and strategy for high-performance data systems, focusing on ML-driven optimizations and cloud-native solutions while mentoring engineers and driving technical initiatives.

As a Principal Engineer, you'll lead the design and implementation of AI systems, influencing architecture and guiding teams while ensuring reliable and explainable AI solutions.

The Senior Software Engineer will design and build infrastructure for ML model training and deployment, focusing on AWS technologies, reliability, and collaboration with ML teams.

Design and build secure, scalable systems as a Full-Stack Software Engineer, leveraging expertise in Next.js, TypeScript, PostgreSQL, and AI tools to enhance cybersecurity within global infrastructure.

This role involves building AI-powered experiences for computer vision solutions, contributing to product strategies, and advocating for new features. Responsibilities include enhancing workflows, integration surfaces, and improving user journeys.

As a Principal Engineer for AI Systems, you will lead AI implementation and integration across the organization, ensuring compliance, enhancing workflows, and managing AI technology platforms while collaborating with various teams to drive efficiency and support AI adoption.

The Staff Software Engineer will design and develop scalable cloud services, focusing on AI infrastructure, with hands-on system architecture, mentoring, and engineering culture shaping responsibilities.

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

Develop AI-powered workflows, conversational systems, and intelligent agents for construction planning. Collaborate with teams to optimize project automation.

As a Staff AI Software Engineer and Technical Educator, you will design multi-agent systems, build production tools with Python and Go, and present technical concepts on camera while interacting with learners. Your role involves collaboration with learning designers and keeping content updated.

The role involves designing and maintaining infrastructure for machine learning applications, deploying ML pipelines, optimizing resources on GCP, and ensuring system observability.

The Staff Software Engineer, AI/ML will design and develop intelligent agents, integrate them with existing systems, optimize performance, and collaborate with product teams, focusing on innovative AI technologies.

Responsible for designing and deploying AI solutions using low-code tools, integrating AI models into applications, and collaborating with teams to enhance workflows.

Design and build production-grade AI systems, combining ML and LLMs, ensuring performance and reliability while providing technical leadership and mentorship.

As a Senior to Principal Machine Learning Engineer, you'll lead the architecture and development of the Agentic AI platform, focusing on LLMs. Responsibilities include enhancing LLM performance, designing evaluation methodologies, and establishing safety protocols for LLM use.

Lead the development of AI solutions on the Salesforce platform to optimize business operations, automate workflows, and enhance organizational efficiency through generative AI.