Top AI Engineer Jobs

The Intermediate Software Engineer will design and build AI-driven features, integrate AI models, and collaborate on machine learning solutions to enhance domain services.

The Lead AI/ML Engineer will oversee the design, development, and deployment of AI solutions, manage cross-functional teams, and ensure system reliability and performance in mission-critical environments.

Join the founding team to build Generative Engine Optimization for AI search, transforming algorithms into scalable ML systems and improving brand visibility.

As an AI/ML Research Engineer, you will research and implement agent architectures for GUI automation, develop reasoning pipelines, and collaborate with engineering teams to turn research into production systems.

As a Staff Software Engineer at Cloudera, you will design and implement scalable AI and machine learning applications, collaborate with cross-functional teams, and adhere to engineering best practices.

As a Staff Software Engineer, you will significantly enhance platform development and experimentation, focusing on AI integration and efficient software workflows. You'll manage end-to-end processes, develop core infrastructure, and employ AI coding agents to refine engineering practices, ultimately improving velocity and output quality.

As an MLOps/AI Platform Engineer SME, you'll validate content for a reskilling program, ensuring technical accuracy in AI platform engineering for customer success professionals.

Drive the development of an AI-powered SRE agent, focusing on reasoning, learning, integrations, and technical architecture while ensuring engineering standards.

The role involves building, optimizing, and scaling AI agents for finance teams, integrating data sources, and improving AI system performance.

Develop and deploy AI agents, integrate various AI solutions, design system architecture, and collaborate with cross-functional teams to enhance AI systems.

Develop and architect AI agents and systems, integrate generative AI solutions, collaborate with teams, and maintain performance of AI products.

As a Site Reliability Engineer for AI platform, you will ensure system reliability, develop automation, manage infrastructure, and evaluate new technologies.

The role focuses on leading AWS engagements for AI deployments, guiding enterprise customers from ideation to production while shaping strategies and enabling partner ecosystems.

The Staff Software Engineer will develop and maintain AI/ML systems, oversee cloud operations, engage with clients, and participate in R&D to enhance AI capabilities.

The Senior Software Engineer will optimize AI workloads using machine learning techniques for large scale GPU and CPU clusters, focusing on resource allocation, performance analysis, and collaboration on hardware/software teams.

The Cloud & AI Infrastructure Engineer designs and optimizes Azure infrastructure, develops CI/CD pipelines, and ensures reliability and security for AI applications.

The AI Software Engineer will design and develop AI systems to enhance operational efficiency, guide engineers, and ensure high-quality technology integration.

The Software Engineer will design and build mobile features integrating AI, improve engineering workflows, and collaborate on scalable solutions for diverse member segments. Understanding AI tools deeply is essential, along with mobile development experience.

As a Senior Backend Engineer II, you'll build cloud services for connected devices, leveraging AI in development workflows, and ensure reliable backend systems.

The Senior Data Engineer will build AI-integration data pipelines, manage AWS infrastructure, engage stakeholders, and lead data governance for AI readiness.

This role focuses on developing AI/ML algorithms for various applications, requires teamwork with developers and researchers, and involves analyzing datasets and deploying ML models.

The Staff Software Engineer shapes AI platform strategy, leads architectural decisions, mentors junior engineers, and ensures compliance for AI capabilities in a financial context.

Design and implement an AI compiler toolchain, optimize neural networks for Renesas SoCs, and collaborate in a hardware-software co-design environment.

The Software Engineer II will design, develop, and deploy AI-driven agents, collaborating with Product and Design to create scalable solutions for construction workflows.

As an AI Software Engineer, you will develop and implement AI and ML solutions, modernize systems, and enhance efficiency. You'll also work with clients to optimize workflows and automate processes.