Top AI Engineer Jobs

As a Staff AI Engineer, you will lead AI development, design systems for complex data problems, ensure operational excellence, mentor peers, and contribute to team growth.

Lead the AI development at HouseAccount by designing, prototyping, and deploying intelligent systems that automate home services. Collaborate with product and growth teams to enhance workflow efficiency using AI technologies and frameworks.

As a Staff Engineer, you will shape the technical direction of the platform, mentor engineers, and design scalable systems across frontend, backend, and infrastructure layers.

As a Senior AI Engineer at Docker, you'll enhance the Ask Gordon AI assistant, improve RAG systems, and develop evaluation frameworks while collaborating with teams to optimize AI capabilities for developers.

The AI Engineer II will develop and deploy machine learning solutions in healthcare, mentor junior staff, and work on complex data analytics to improve patient care and operational efficiencies.

Lead the architecture and management of AI/ML infrastructure using Kubernetes and Terraform, optimizing hybrid environments for performance and scalability.

The Principal AI/ML Engineer will develop machine learning models for campaign optimization in AdTech, collaborating across engineering and product teams to enhance advertising capabilities.

As a Staff AI Software Engineer, you'll develop and optimize scalable AI applications, manage deployment pipelines, and collaborate with cross-functional teams to drive innovative solutions.

The Senior Data Engineer will design, build, and maintain data solutions for risk management, focusing on data warehousing and pipeline development. They will mentor other engineers and drive data strategy.

As a Forward Deployed AI Engineer, you will implement AI solutions for complex customer needs, ensuring successful deployment and customer success by acting as a technical bridge between the company and clients.

Lead AI feature development, integrate large models, collaborate cross-functionally, ensure technical quality, monitor AI advancements, and build user interfaces and tools for AI applications.

As an AI Integrations Staff Engineer at Vetcove, you'll integrate AI models like ChatGPT into existing products, optimize performance, and collaborate with data science teams to enhance user experience.

The AI Engineer will shape AI strategy by prototyping solutions, collaborating with cross-functional teams, and optimizing ML models for business benefits.

The Staff Full Stack Engineer will enhance machine learning workflows at Cruise by developing UX experiences, backend integrations, and overseeing system architecture and performance metrics.

As a Principal AI Engineer, you will design and optimize scalable AI systems, mentor teams, and collaborate on cybersecurity solutions.

Lead the design and implementation of AI systems for residential construction. Develop LLM-powered applications, mentor engineers, and ensure production reliability.

As a Backend AI Engineer, you will design and implement AI features, manage AI initiatives, and collaborate across teams to leverage AI for payment solutions.

The role involves developing scalable ML solutions, leading cross-functional discussions, analyzing knowledge data, and producing technical documentation to improve search relevance using AI and machine learning technologies.

We are seeking a Senior Software Engineer specializing in AI to enhance our Website Experience Platform. Responsibilities include developing AI-driven solutions to optimize web experiences for users. This role involves collaboration with teams to deliver performant digital experiences, focusing on customer trust and quality delivery.

Lead development of AI capabilities for a SaaS platform, defining the AI roadmap, building intelligent features, and integrating AI/ML models.

Design and build intelligent software agents for federal missions, integrating AI technologies and creating full-stack applications in an agile team environment.

The AI Engineer will improve text-to-SQL accuracy, build evaluation frameworks, and develop production-grade LLM applications, collaborating with engineering and customers for enhancements.

Design, develop, and optimize AI models and solutions, implementing them on cloud platforms while collaborating with teams to enhance AI capabilities.

Lead the AI engineering team to architect and maintain data pipelines for LLM models and enterprise AI solutions, ensuring compliance and high performance.

Design and build systems for knowledge retrieval and operational plans, optimizing information retrieval processes to support real-time decision-making.