Top Remote AI Engineer Jobs

The Senior AI Engineer will design and develop intelligent conversational systems for recruiting by architecting agentic workflows and integrating advanced ML/NLP products, while mentoring others and ensuring best practices.

The AI Developer Technology Engineer will develop machine learning techniques, optimize performance on GPU architectures, and collaborate with various teams to design next-gen software and architectures.

Lead the design and delivery of production-grade Generative AI solutions, manage a development team, provide architectural guidance, and maintain hands-on coding responsibilities.

The AI Engineer will build and optimize AI evaluation systems, integrate AI technologies, develop testing frameworks, and ensure production reliability for AI applications, primarily using Python while collaborating with cross-functional teams.

Lead the development of large language models for marketing technologies, optimize AI solutions, and mentor junior team members to drive innovation and quality.

Lead architecture and execution for data platforms and LLM products, focusing on scalable solutions and team collaboration to drive outcomes.

The (Senior) Data & AI Engineer designs and maintains scalable data platforms, builds data pipelines, and advises customers on data solutions while collaborating with stakeholders and optimizing data workflows.

As a (Senior) Data & AI Engineer, you will design, build, and maintain data solutions, optimize data pipelines, and collaborate with stakeholders.

Lead technical initiatives for Generative AI in logistics, design architecture, implement evaluation pipelines, and mentor engineers.

The role involves developing sophisticated LLM-powered autonomous agents, integrating intelligent services, and ensuring systems' scalability and reliability. Responsibilities include architecting AI modules, leading agile sprints, and monitoring production lifecycle with CI/CD roles.

Develop AI-based solutions to improve system architecture and product offerings, collaborating with cross-functional teams on software and system engineering topics.

The AI Engineer will build AI solutions for enterprise data transformations, prototype, and establish standards for AI application across the team and organization.

Lead the architectural direction for Generative AI initiatives, establish CI/CD pipelines, mentor engineers, and drive AI experimentation for logistics solutions.

The Senior Agentic AI Engineer will develop cutting-edge GenAI solutions, design high-performance AI modules, and ensure system integration while leading cross-functional teams.

As a Senior Forward Deployed Engineer, you'll deliver AI solutions, engage with customers, and lead project lifecycles, including deployment and integration.

The AI Engineer will develop and maintain AI infrastructure, implement ML solutions, curate datasets, and collaborate with teams to enhance products.

Design, build, and scale intelligent systems using AI/ML across various domains including LLMs, Computer Vision and Speech AI, integrating these into business workflows.

Design and engineer AI systems integrating creativity, data, and automation. Develop GenAI workflows and collaborate in agile teams to enhance WongDoody's AI innovation culture.

As a Backend Engineer, you'll enhance the Smart Financial Platform, focusing on robust scalable solutions, APIs, and efficient code delivery while collaborating with cross-functional teams.

Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.

As a Senior Site Reliability Engineer, you will enhance the reliability and performance of our inference platform, leveraging Kubernetes and Terraform while ensuring smooth scalability of systems under load.

The role involves testing and debugging AI clusters, maintaining hardware, and collaborating with development teams to resolve issues across networking components.

The Applied AI Engineer will onboard clients on Mistral AI products, manage complex integrations, and drive technological transformations through collaboration with stakeholders.

The role involves researching and developing GPU acceleration techniques for AI workloads, optimizing complex algorithms, and collaborating with technical experts. Responsibilities include publishing findings and influencing next-gen architecture designs.

Seeking a Senior Software Engineer to build AI inference systems. Responsibilities include optimizing GPU kernels, architecting inference stacks, and defining benchmarking methodologies. Requires strong programming skills and experience in ML systems.