Top Remote AI Engineer Jobs

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.

Design, develop, and maintain web applications and APIs, ensuring scalability and performance, while utilizing AI-assisted coding tools.

The Senior Staff AI/ML Engineer will design, develop, and deploy scalable machine learning models, collaborating with teams to address business challenges and ensure high performance in production environments.

Develop and maintain high-performance Python-based backend APIs, ensuring robust data management and collaborating with various teams to enhance cybersecurity products.

Architect AI-driven solutions for Employee Experience at Airbnb. Build prototypes, integrate systems, ensure ethical design, and collaborate across teams.

The Software Engineer (Applied AI) will build and design AI-native systems, data pipelines, and applications to enhance sales processes, ensuring reliable data handling from multiple sources.

Revic seeks a Sr. Software Engineer to develop AI-driven systems from diverse data sources, enhancing sales productivity and decision-making. Ideal candidates will have extensive experience in building scalable systems and solving complex problems.

As an AI Process Automation Engineer, you will develop automation tools combining software engineering and AI, optimizing workflows and collaborating on innovative solutions.

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

Lead the design and development of ML inference systems, focusing on generative AI models and optimization techniques for production environments.

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

The AI Data Engineer will build and manage data pipelines and infrastructure for ML/LLM applications, ensuring data quality and compliance, and collaborating with data scientists and AI teams.