Top Artificial Intelligence Engineer Jobs in Chicago, IL

The Staff Frontend Engineer will build AI-driven web applications, mentor junior developers, ensure code quality, and guide architectural decisions in a cross-functional Agile team.

As a Software Engineer, you will develop AI-driven applications, improve product performance, collaborate in an Agile environment, and ensure software quality.

As a Lead AI Software Engineer, you will drive technical strategy for AI applications, mentor team members, and develop scalable NLP solutions while collaborating with various stakeholders.

The AI Engineer will design and implement AI solutions, support project initiatives, and ensure compliance with business strategies while driving innovation.

You will design, develop, and deploy machine learning models for recommendations and ranking, impacting the customer experience. Collaboration with engineers and product managers is expected.

Design and maintain distributed systems infrastructure, including GPU clusters and network architectures. Implement monitoring and optimize storage solutions for AI/ML workloads.

As a Forward Deployed Engineer at MongoDB, you will work with strategic customers to design and implement AI solutions, leveraging MongoDB Atlas and modern technologies. This role requires technical leadership, customer interaction, and hands-on development to create scalable AI solutions.

Lead the development of embedded software for AI-driven video solutions at Samsara, focusing on technology choices and architectural patterns for impactful products.

The AI Customer Integration Engineer will integrate tracking software, lead technical discussions, gather requirements, and manage project execution for enterprise-level clients.

Lead AI projects by developing and shipping AI-powered features to enhance customer workloads. Collaborate with teams to improve AI products and establish development best practices.

As Lead ML Engineer, you will guide ML engineering teams, define technical visions, mentor engineers, and develop AI solutions for large networks.

The AI/ML Engineer will design, develop, and fine-tune AI models, manage large datasets, and optimize performance through advanced techniques, while collaborating with teams to integrate solutions.

As an AI Integration Engineer, you will integrate AI models into Vetcove's products, enhancing functionalities and collaborating with teams for optimal performance.

Responsible for systems analysis, application development, and testing of applications. Leads teams and projects while providing technical guidance. Collaborates with clients and stakeholders to design efficient solutions and manages project execution.

Lead the AI Safety Strategy and Assessment team, overseeing AI/ML safety initiatives, providing technical guidance, and developing safety strategies for autonomous driving systems. Responsibilities include training and enhancing ML models, prototyping solutions, and collaborating on statistical analysis to improve operational processes.

Lead the design and implementation of core AI services, focusing on scalability and performance for a high-throughput AI inference platform.

The AI/ML Cloud Engineer will design and implement AI solutions using cloud platforms, manage AI services, and ensure best practices in AI engineering.