Top Remote AI Engineer Jobs

As a Senior PHP Data Engineer, you will design and build data extraction services, architect data platforms, and tackle complex healthcare data challenges while integrating AI tools into the workflow.

The Principal Software Engineer, Applied AI will lead AI integration in cloud-native applications, mentor engineers, and ensure robust, scalable solutions. Responsibilities include full stack feature development, backend service design, and creating intuitive AI-driven user workflows.

The Senior Software Engineer will develop full-stack features, integrate AI capabilities, ensure reliability, and collaborate closely with teams to enhance Insight Cloud's user experience.

Lead design and implementation of Generative AI features, mentor engineers, ensure performance and reliability, collaborate with product teams, and maintain high quality standards.

The role includes delivering solutions to technical problems, managing APIs, mentoring team members, and participating in recruitment to support the engineering team's growth.

As a Senior Applied AI Engineer at Vanta, you'll design and implement AI-powered features, mentor engineers, and ensure AI systems improve customer experience, leveraging LLMs and full-stack development skills.

As a Senior AI Platform Engineer at Vanta, you will design, build, and improve AI infrastructure and tooling, collaborating with product and AI engineering teams to enhance AI capabilities.

Lead the design and deployment of intelligent systems using Knowledge Graphs and AI reasoning, including building scalable solutions and integrating AI models.

Manage model launches and provider onboarding in an AI marketplace, focusing on integration, QA, and internal tooling improvements.

The Lead Product Engineer will design and develop cloud-native applications using .NET and C#, lead Azure migrations, and mentor junior engineers in an AI-enhanced development environment.

Build and implement AI solutions for cybersecurity, focusing on vulnerability detection and exploitation. Collaborate with senior engineers and mentor junior team members.

Design and implement features for Temporal's AI SDK, collaborate with the community, document APIs, and support reliability in AI applications.

As a Staff Software Engineer, you will lead the design and implementation of AI-driven backend systems, mentor engineers, and set technical direction.

The Senior Software Engineer will design and implement core systems for AI-driven customer service, focusing on backend architecture, database design, and system reliability.

Design and architect AI/ML solutions, build document parsers and classifiers, maintain AI systems, and collaborate with cross-functional teams.

Lead the evolution of Service Desk and digital operations using AI and automation. Design intelligent workflows, manage platforms, and drive adoption while ensuring user satisfaction and operational improvements.

As a Software Engineer on the AI Gateway Team, you will design and implement distributed systems for secure application connections, optimizing traffic routing and policy enforcement with a focus on scalability and developer experience.

As a Ruby AI Tutor, you will review Ruby code for safety and correctness, solve system-level problems, and summarize decision-making processes.

As a DevOps Infrastructure as Code Engineer, you design and maintain cloud infrastructure, automate processes, and monitor performance for AI applications.

Lead technical expert for Gcore's compute and GPU products, support sales through solution design, and manage enterprise accounts. Act as a technical account manager and represent Gcore at industry events.

The Senior AI Software Engineer will design and implement AI systems in Palantir Foundry, enhancing healthcare financial operations and developing tools for revenue cycle management.

The Sales Engineer will serve as a technical lead, guiding clients on advanced data integration and analytics solutions in healthcare, impacting revenue and client engagement.

The AI Solutions Engineer will work with ML teams, advising on GenAI/ML best practices, conducting demos, strategic reviews, and partnering with sales and product teams to drive customer success and product development.

Lead product engineering initiatives by designing, developing, and deploying cloud-native applications using .NET, C#, and Azure technologies, while leveraging AI for enhanced development processes.

Lead the development of AI systems for vulnerability detection and penetration testing with expertise in AI/ML technologies and cybersecurity principles.